42 Powerdesigner Jobs

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Chief Data Architect Business: Finance Function Principal responsibilities The Financial Data Service (FDS) Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution. Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation. Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues. Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets. Contribute to FDS program model development planning and scheduling. Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards. Advise and support Finance modelling data requirements that support new use case and data changes. Serve as FDS data modelling subject matter expert. Support Finance adoption and implementation of FDS data models to meet HSBC's strategic data needs. Participate in data modelling and data architecture governance forums. Coordinate and collaborate with cross-functional teams, change delivery teams, technology teams and subject matter expert - stakeholders. Create and maintain a range of data modelling documents including model requirement, data flow diagrams, data catalogues, data definitions, design specification, data models, traceability matrices, data quality rules and more. Be responsible for translating the Finance business requirements into the data modelling solution and Finance Data Assets. Conduct a continuous audit of data models and refine whenever required, this includes the reporting of any challenges issues or risks to senior management. Ensure Finance data models align with Enterprise data models and adhere to Enterprise Architecture principles and standards. Requirements Minimum of 10 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. A proven track record working in a large and global banking environment is desirable. Demonstrate experience in design data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary. Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes. Good understanding of architectural domains (business, data, application, and technology) Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Cloud exposure to solutions implemented in either GCP (Google Cloud Platform), AWS (Amazon Web Services) Azure would be beneficial as well as having exposure to big data solutions would be advantageous. Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

As a Data Model Designer, you will be responsible for structuring and organizing data to support scalable applications and reporting systems. Your role will play a crucial part in maintaining data consistency and reusability throughout the organization. Your key responsibilities will include developing and maintaining conceptual, logical, and physical data models, ensuring that these models align with reporting, analytics, and application requirements. You will collaborate with stakeholders to gather data requirements, normalize data, optimize relationships, and work closely with developers and DBAs to implement these models in production. To be successful in this role, you should have 6-9 years of experience in data modeling or business intelligence, a strong understanding of relational databases and data warehousing, and proficiency in data modeling tools such as PowerDesigner, dbt, and ER/Studio. You should possess the ability to interpret business needs and translate them into effective data structures, with a keen attention to detail. It would be advantageous if you have experience with dimensional modeling, including star/snowflake schemas, and familiarity with master data management concepts. Key Skills: er/studio, data warehousing, modeling, powerdesigner, relational databases, data modeling tools, business intelligence, master data management, data, dimensional modeling, dbt, data modeling,

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications Bachelor's degree in Engineering or a related field. 5 to 9 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Principal Responsibilities The FDS Data Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution. Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation. Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues. Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets. Contribute to FDS program model development planning and scheduling. Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards. Advise and support Finance modelling data requirements that support new use case and data changes. Serve as FDS data modelling subject matter expert. Seek opportunities to simplify, automate, rationalise, and improve the efficiency of Finance IT and modelling solutions. Update and maintain the key FDS modelling artefacts, (i.e., Confluence, SharePoint, documents, reports, roadmap, and other domain artefacts). Provide data modelling and technical advice as well as maintain ongoing relationships. Provide feedback in a timely manner to ensure that model development or modification meets the business need. Requirements Minimum of 5 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders. Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN. Results oriented with ability to produce solutions that deliver organisational benefit. Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership for key deliverables. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD***

Summary about Organization A career in our Advisory Acceleration Center is the natural extension of PwC’s leading global delivery capabilities. The team consists of highly skilled resources that can assist in the areas of helping clients transform their business by adopting technology using bespoke strategy, operating model, processes and planning. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. An essential and strategic part of Advisory's multi-sourced, multi-geography Global Delivery Model, the Acceleration Centers are a dynamic, rapidly growing component of our business. The teams out of these Centers have achieved remarkable results in process quality and delivery capability, resulting in a loyal customer base and a reputation for excellence. . Job Description Senior Data Architect with experience in design, build, and optimization of complex data landscapes and legacy modernization projects. The ideal candidate will have deep expertise in database management, data modeling, cloud data solutions, and ETL (Extract, Transform, Load) processes. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures. Key areas of expertise include Design and implement scalable and efficient data architectures to support business needs. Develop data models (conceptual, logical, and physical) that align with organizational goals. Lead the database design and optimization efforts for structured and unstructured data. Establish ETL pipelines and data integration strategies for seamless data flow. Define data governance policies, including data quality, security, privacy, and compliance. Work closely with engineering, analytics, and business teams to understand requirements and deliver data solutions. Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses (Snowflake, BigQuery, Redshift). Ensure high availability, disaster recovery, and backup strategies for critical databases. Evaluate and implement emerging data technologies, tools, and frameworks to improve efficiency. Conduct data audits, performance tuning, and troubleshooting to maintain optimal performance Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 13+ years of experience in data modeling, including conceptual, logical, and physical data design. 5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query. Proven experience with NoSQL databases and data modeling techniques for non-relational data. Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark). Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems. Strong understanding of data governance, data security, and compliance best practices. Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders. Preferred Skills Experience with modern data architectures, such as data fabric or data mesh. Knowledge of graph databases and modeling for technologies like Neo4j. Proficiency with programming languages like Python, Scala, or Java. Understanding of CI/CD pipelines and DevOps practices in data engineering.

Job Title: Data Model Designer Location: Work From Office – Chennai Employment Type: Contract About The Role We are seeking a Data Model Designer to structure and organize data for scalable applications and reporting systems. Your work will be central to ensuring data consistency and reusability across the business. Responsibilities Develop and maintain conceptual, logical, and physical data models Ensure data models support reporting, analytics, and application needs Collaborate with stakeholders to gather data requirements Normalize data and optimize relationships Work with developers and DBAs to implement models in production Requirements 6-9 years of experience in data modeling or business intelligence Strong understanding of relational databases and data warehousing Experience with data modeling tools (e.g., PowerDesigner, dbt, ER/Studio) Ability to interpret business needs and translate them into data structures Strong attention to detail Nice To Have Experience with dimensional modeling (e.g., star/snowflake schemas) Familiarity with master data management concepts Skills: er/studio,data warehousing,modeling,powerdesigner,relational databases,data modeling tools,business intelligence,master data management,data,dimensional modeling,dbt,data modeling

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model current and new data, contributing to data architecture decisions and solutions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead data modeling efforts for various projects. - Develop and maintain data models for databases. - Ensure data integrity and quality in all data modeling activities. - Conduct data analysis to support business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of database design principles. - Experience with data modeling tools such as ERwin or PowerDesigner. - Knowledge of data governance and data quality best practices. - Good To Have Skills: Experience with data warehousing concepts. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Noida office. - A 15 years full time education is required.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant - Senior Data Modeler - Life Sciences . We are seeking a Senior Data Modeler with deep expertise in the Life Sciences domain to provide thought leadership across data deliveries . The ideal candidate will have extensive experience in designing scalable, future-proof data models that support critical functions such as clinical research, drug development, regulatory compliance, supply chain management, and commercial operations . This role will focus on data modeling and domain expertise , ensuring models align with operational efficiency, analytics, and automation. Key Responsibilities Deep Domain Expertise : Develop conceptual, logical, and physical data models for core Life Sciences processes, including clinical trials, regulatory submissions, pharmacovigilance, manufacturing, and sales & marketing . Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. Collaboration & Leadership : Collaborate with key Life Sciences domain stakeholder groups including decision-makers (like R&D executives, regulatory affairs leaders), clinical data analysts, clinical researchers, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: Ensure data models adhere to Life Sciences industry regulations, including FDA, EMA, HIPAA, GDPR, 21 CFR Part 11, and GxP guidelines. Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. Technical Excellence : Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner , or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement : Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Life Sciences domain. Prior experience working closely with various key diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for clinical research, regulatory compliance, pharmacovigilance, supply chain, and commercial operations. Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required . Strong understanding of Life Sciences domain business processes, including clinical research, regulatory compliance, pharmacovigilance, supply chain, and commercial operations, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., FDA, EMA, HIPAA, GDPR, 21 CFR Part 11, GxP ). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities : Collaborating with business and technology teams to design conceptual, logical, and physical data models for the lending business domain. Using SAP Power Designer to create and manage data models. Ensuring data models align with data governance standards, data quality frameworks, and enterprise data architecture. Working closely with stakeholders to gather and analyze requirements related to CB Loan/Lending business processes. Defining relationships, data attributes, and structures to optimize data storage and retrieval. Supporting data integration and migration efforts by ensuring models are aligned with business rules and technology architecture. Participating in business development activities and contributing to thought leadership on data modeling and architecture best practices. Mandatory skill set s: Using SAP Power Designer to create and manage data models. Ensuring data models align with data governance standards, data quality frameworks, and enterprise data architecture. Preferred skill sets : SQL, ETL processes, and database technologies. Years of experience required : 4 – 7 yrs Education qualification : B.tech /MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP PowerDesigner Optional Skills Extract Transform Load (ETL), Structured Query Language (SQL) Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Vacancy with a company focused on digital transformation, specializing in intelligent automation, digitalization, data science & analytics, and mobile enablement. They help businesses improve cost efficiency, productivity, and agility by reducing turnaround time and errors. The company provides services and solutions including operations digital transformation consulting, next-gen shared services setup consulting, cognitive RPA deployment, and AI-enabled CX enhancement. Founded in 2020 ;with HQ in Gurugram, India; the Company is now operating from Noida, Mumbai, Hyderabad, and Bengaluru as well. Job Role:We are seeking a highly skilled and detail-oriented Data Modeler to join our Data Management team. The ideal candidate will be responsible for designing and implementing logical and physical data models to support enterprise data initiatives. This role requires close collaboration with business stakeholders, data architects, and engineers to ensure data is structured and accessible for analytics, reporting, and operational needs. The successful candidate will: Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, PowerDesigner etc.  Minimum of 8 years of data architecture, data modelling or similar experience  5-7 years of management experience required  5-7 years consulting experience preferred  Experience working with dimensionally modelled data  Bachelor’s degree or equivalent experience, Master’s Degree Preferred  Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Job Types: Full-time, Permanent Pay: Up to ₹3,000,000.00 per year Benefits: Cell phone reimbursement Internet reimbursement Life insurance Paid sick time Paid time off Work from home Work Location: In person

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultan t- Senior Data Modeler - Wealth Management. We are seeking a seasoned Senior Data Modeler with deep expertise in Wealth Management to provide thought leadership in data deliveries . This role focuses exclusively on data modeling and domain expertise , bridging wealth management business processes with robust data architecture to drive operational efficiency, advanced analytics, and automation. The ideal candidate will leverage their comprehensive understanding of key sub-business domains within Wealth Management to design scalable, future-proof data models that align with evolving business needs. Key Responsibilities Deep Domain Expertise : Leverage in-depth knowledge of key sub-business areas within Wealth Management such as portfolio management, risk analysis, client segmentation, and asset allocation, to design and refine data models. Develop data models that address core business functions and industry challenges, ensuring they are aligned with evolving operational needs. Translate complex business processes into well-structured data architectures that support both transactional (OLTP) and analytical (OLAP) environments. Collaboration & Leadership : Collaborate with diverse stakeholder groups including decision-makers, analysts, operational users, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Build empathy-driven models that reflect the real-world needs and challenges of each user group. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: Integrate industry-specific compliance and regulatory frameworks (e.g., SEC, FINRA, GDPR/CCPA) into data models to ensure data integrity and auditability. Work closely with compliance teams to ensure that data architectures meet all regulatory requirements relevant to the Wealth Management domain. Technical Excellence : Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner , or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement : Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required . Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant - Senior Data Modeler - Retail domain. We are seeking a highly skilled Senior Data Modeler with deep expertise in the Retail domain to provide thought leadership across data deliveries. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key retail processes such as inventory management, pricing, sales, customer loyalty, and supply chain operations. This role focuses on data modeling and domain expertise, ensuring models align with operational efficiency, analytics, and automation. Key Responsibilities . Deep Domain Expertise: . Develop conceptual, logical, and physical data models for core Retail processes, including customer transactions, pricing and promotions, product catalog management, e-commerce, store operations, and supply chain logistics. . Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. . Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. . Collaboration & Leadership: . Collaborate with key Retail domain stakeholder groups including decision-makers (like Retail executives, merchandising managers), analysts, operational users, and compliance teams. . Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. . Provide technical guidance and mentorship to junior data modelers and analysts. . Facilitate review sessions and present model designs to stakeholders. . Compliance & Regulatory Considerations: . Ensure data models adhere to retail industry standards and regulations, such as PCI-DSS for transaction security, GDPR/CCPA for customer data privacy, and consumer protection laws. . Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. . Technical Excellence: . Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models. . Stay current with emerging trends and technologies in data management, data warehousing, and analytics. . Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. . Process Improvement: . Identify opportunities for process improvements and automation within business data workflows. . Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications . Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience . Extensive experience in data modeling and data architecture, specifically in the Retail domain. . Prior experience working closely with various key diverse stakeholder groups to capture detailed data requirements . Proven expertise in designing and managing data models for customer transactions, pricing, inventory, supply chain, and e-commerce data. Preferred Qualifications/ Skills . Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). . Expertise in data modelling principles/methods including conceptual, logical & physical data models. . Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required. . Strong understanding of Retail domain business processes, including customer transactions, pricing, inventory, supply chain, and e-commerce data, etc. . Ability to clearly translate complex data models into actionable business insights. . Excellent analytical, problem-solving, and communication skills. . Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. . Knowledge of compliance and regulatory requirements (e.g., PCI-DSS, GDPR/CCPA). Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Senior Data Modeler - Retail Banking. We are seeking a seasoned Senior Data Modeler with deep expertise in Retail Banking to provide thought leadership in data modeling and architecture. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key banking functions such as customer accounts, deposits, loans, credit cards, transactions, and payments. This role requires strong domain expertise, ensuring data models align with operational efficiency, analytics, and automation while adhering to industry regulations. Key Responsibilities . Deep Domain Expertise: Develop conceptual, logical, and physical data models for core Retail Banking processes, including customer onboarding, account management, deposits, lending, payments, risk management, and fraud detection. Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. . Collaboration & Leadership: Collaborate with key Retail Banking stakeholder groups including decision-makers, analysts, operational users, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. . Compliance & Regulatory Considerations: Ensure data models adhere to industry regulations, including Basel III, GDPR, CCPA, PCI-DSS, KYC, AML (Anti-Money Laundering), and SOX (Sarbanes-Oxley). Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. . Technical Excellence: Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. . Process Improvement: Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications . Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience . Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. . Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements . Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills . Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). . Expertise in data modelling principles/methods including conceptual, logical & physical data models. . Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required. . Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. . Ability to clearly translate complex data models into actionable business insights. . Excellent analytical, problem-solving, and communication skills. . Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. . Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Senior Data Modeler – Retail Banking. We are seeking a seasoned Senior Data Modeler with deep expertise in Retail Banking to provide thought leadership in data modeling and architecture. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key banking functions such as customer accounts, deposits, loans, credit cards, transactions, and payments. This role requires strong domain expertise, ensuring data models align with operational efficiency, analytics, and automation while adhering to industry regulations. Key Responsibilities Deep Domain Expertise: § Develop conceptual, logical, and physical data models for core Retail Banking processes, including customer onboarding, account management, deposits, lending, payments, risk management, and fraud detection. § Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. § Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. Collaboration & Leadership: § Collaborate with key Retail Banking stakeholder groups including decision-makers, analysts, operational users, and compliance teams. § Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. § Provide technical guidance and mentorship to junior data modelers and analysts. § Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: § Ensure data models adhere to industry regulations, including Basel III, GDPR, CCPA, PCI-DSS, KYC, AML (Anti-Money Laundering), and SOX (Sarbanes-Oxley). § Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. Technical Excellence: § Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models. § Stay current with emerging trends and technologies in data management, data warehousing, and analytics. § Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement: § Identify opportunities for process improvements and automation within business data workflows. § Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required. Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 19, 2025, 6:13:22 AM Unposting Date Dec 16, 2025, 10:13:22 AM Master Skills List Digital Job Category Full Time

Job Title: Lead Data Engineer Job Summary The Lead Data Engineer will provide technical expertise in analysis, design, development, rollout and maintenance of data integration initiatives. This role will contribute to implementation methodologies and best practices, as well as work on project teams to analyse, design, develop and deploy business intelligence / data integration solutions to support a variety of customer needs. This position oversees a team of Data Integration Consultants at various levels, ensuring their success on projects, goals, trainings and initiatives though mentoring and coaching. Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective whilst leveraging best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges Works with stakeholders to identify and define self-service analytic solutions, dashboards, actionable enterprise business intelligence reports and business intelligence best practices. Responsible for repeatable, lean and maintainable enterprise BI design across organizations. Effectively partners with client team. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable. Responsibilities Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc. Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs. May serve as project or DI lead, overseeing multiple consultants from various competencies Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration Ensures proper execution/creation of methodology, training, templates, resource plans and engagement review processes Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate. Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels Architect, design, develop and set direction for enterprise self-service analytic solutions, business intelligence reports, visualisations and best practice standards. Toolsets include but not limited to: SQL Server Analysis and Reporting Services, Microsoft Power BI, Tableau and Qlik. Work with report team to identify, design and implement a reporting user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices. Required Qualifications 10 Years industry implementation experience with data integration tools such as AWS services Redshift, Athena, Lambda, Glue, S3, ETL, etc. 5-8 years of management experience required 5-8 years consulting experience preferred Minimum of 5 years of data architecture, data modelling or similar experience Bachelor’s degree or equivalent experience, Master’s Degree Preferred Strong data warehousing, OLTP systems, data integration and SDLC Strong experience in orchestration & working experience cloud native / 3 rd party ETL data load orchestration Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP) Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms Strong databricks experience required to create notebooks in pyspark Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.) Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.) Strong experience in orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP) Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms 3-5 years’ development experience in decision support / business intelligence environments utilizing tools such as SQL Server Analysis and Reporting Services, Microsoft’s Power BI, Tableau, looker etc. Preferred Skills & Experience Knowledge and working experience with Data Integration processes, such as Data Warehousing, EAI, etc. Experience in providing estimates for the Data Integration projects including testing, documentation, and implementation Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions. Ability to provide technical direction to other team members including contractors and employees. Ability to contribute to conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together. Proven experience leading team members, directly or indirectly, in completing high-quality major deliverables with superior results Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM. Can create documentation and presentations such that the they “stand on their own” Can advise sales on evaluation of Data Integration efforts for new or existing client work. Can contribute to internal/external Data Integration proof of concepts. Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered. Ability to work independently on projects as well as collaborate effectively across teams Must excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Experience working with multi-level business communities Can effectively utilise SQL and/or available BI tool to validate/elaborate business rules. Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with the team to design effective solutions to business problems/issues. Effectively influences and, at times, oversees business and data analysis activities to ensure sufficient understanding and quality of data. Demonstrates a complete understanding of and utilises DSC methodology documents to efficiently complete assigned roles and associated tasks. Deals effectively with all team members and builds strong working relationships/rapport with them. Understands and leverages a multi-layer semantic model to ensure scalability, durability, and supportability of the analytic solution. Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point. Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM. Show more Show less

Job Title: Data Engineer Job Summary Data Engineers will be responsible for the design, development, testing, maintenance, and support data assets including; Azure Data Lake and data warehouse development, modeling, package creation, SQL script creation, stored procedure development, integration services support among other responsibilities. Candidate have at least 3-5 years hands-on Azure experience as a Data Engineer, must be an expert in SQL and have extensive expertise building data pipelines. Candidate will be accountable for meeting deliverable commitments including schedule and quality compliance. This Candidate must have skills to plan and schedule own work activities, coordinate activities with other cross-functional team members to meet project goals. Basic Understanding Of Scheduling and workflow management & working experience in either ADF, Informatica, Airflow or Similar Enterprise Data Modelling and Semantic Modelling & working experience in ERwin, ER/Studio, PowerDesigner or Similar Logical/Physical model on Big Data sets or modern data warehouse & working experience in ERwin, ER/Studio, PowerDesigner or Similar Agile Process (Scrum cadences, Roles, deliverables) & basic understanding in either Azure DevOps, JIRA or Similar Architecture and data modelling for Data Lake on cloud & working experience in Amazon WebServices (AWS), Microsoft Azure, Google Cloud Platform (GCP) Basic understanding of Build and Release management & working experience in Azure DevOps, AWS CodeCommitt or Similar Strong In Writing code in programming language & working experience in Python, PySpakrk, Scala or Similar Big Data Framework & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar Data warehouse working experience of concepts and development using SQL on single (SQL Server, Oracle or Similar) and parallel platforms (Azure SQL Data Warehouse or Snowflake) Code Management & working experience in GIT Hub, Azure DevOps or Similar End to End Architecture and ETL processes & working experience in ETL Tool or Similar Reading Data Formats & working experience in JSON, XML or Similar Data integration processes (batch & real time) using tools & working experience in either Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop or Similar Writing requirement, functional & technical documentation & working experience in Integration design document, architecture documentation, data testing plans or Similar SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar Database & working experience in any of the database like MS SQL, Oracle or Similar Analytical Problem Solving skills & working experience in resolving complex problems or Similar Communication (read & write in English), Collaboration & Presentation skills & working experience as team player or Similar Good To Have Stream Processing & working experience in either Databricks Streaming, Azure Stream Analytics or HD Insight or Kinesis Data Analytics or Similar Analytical Warehouse & working experience in either SQL Data Warehouse or Amazon Athena or AWS Redshift or Big Query or Similar Real-Time Store & working experience in either Azure Cosmos DB or Amazon Dynamo-DB or Cloud Bigdata or Similar Batch Ingestion & working experience in Data Factory or Amazon Kinesis or Lambda or Cloud Pub/Sub or Similar Storage & working experience in Azure Data Lake Storage GEN1/GEN2 or Amazon S3 or Cloud Storage or Similar Batch Data Processing & working experience in either Azure Databricks or HD Insight or Amazon EMR or AWS Glue or Similar Orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar Show more Show less

Greetings from TATA Consultancy Services!! TCS is hiring for Data Modeler - Architect Experience Range: 10+ Years Job Location: Hyderabad (Adibatla), Chennai Job Summary: Detail-oriented and analytical Data Modeler to design, implement, and maintain logical and physical data models that support business intelligence, data warehousing, and enterprise data integration needs. The ideal candidate will work closely with business analysts, data architects, and software engineers to ensure data is organized effectively and support scalable, high-performance applications. Required Skills: • Strong understanding of relational, dimensional, and NoSQL data modeling techniques. • Proficient in data modeling tools (e.g., Erwin, Enterprise Architect, PowerDesigner, SQL Developer Data Modeler). • Experience with Advanced SQL and major database platforms (e.g., Oracle, SQL Server, PostgreSQL, MySQL). • Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL, Snowflake). • Excellent communication and documentation skills. • Knowledge of data governance and data quality principles. • Experience with data warehousing concepts and tools (e.g., ETL pipelines, OLAP cubes). • Familiarity with industry standards such as CDM (Common Data Model), FHIR, or other domain-specific models Key Responsibilities: • Design and develop conceptual, logical, and physical data models. • Translate business requirements into data structures that support analytics, reporting, and operational needs. • Work with stakeholders to understand and document data needs and flows. • Optimize and maintain existing data models for performance and scalability. • Ensure data models are consistent with architectural guidelines and standards. • Develop and maintain metadata repositories and data dictionaries. • Collaborate with data architects and engineers to implement models within databases and data platforms. • Assist in data quality analysis and improvement initiatives. • Document data models and data mapping specifications. Regards Bodhisatwa Ray Show more Show less

Data Modeler JD  Proven experience as a Data Modeler or in a similar role (8 years depending on seniority level).  Proficiency in data modeling tools (e.g., ER/Studio, Erwin, SAP PowerDesigner, or similar).  Strong understanding of database technologies (e.g., SQL Server, Oracle, PostgreSQL, Snowflake).  Experience with cloud data platforms (e.g., AWS, Azure, GCP).  Familiarity with ETL processes and tools.  Excellent knowledge of normalization and denormalization techniques.  Strong analytical and problem-solving skills. Show more Show less

Summary about Organization A career in our Advisory Acceleration Center is the natural extension of PwC’s leading global delivery capabilities. The team consists of highly skilled resources that can assist in the areas of helping clients transform their business by adopting technology using bespoke strategy, operating model, processes and planning. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. An essential and strategic part of Advisory's multi-sourced, multi-geography Global Delivery Model, the Acceleration Centers are a dynamic, rapidly growing component of our business. The teams out of these Centers have achieved remarkable results in process quality and delivery capability, resulting in a loyal customer base and a reputation for excellence. . Job Description Senior Data Architect with experience in design, build, and optimization of complex data landscapes and legacy modernization projects. The ideal candidate will have deep expertise in database management, data modeling, cloud data solutions, and ETL (Extract, Transform, Load) processes. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures. Key areas of expertise include Design and implement scalable and efficient data architectures to support business needs. Develop data models (conceptual, logical, and physical) that align with organizational goals. Lead the database design and optimization efforts for structured and unstructured data. Establish ETL pipelines and data integration strategies for seamless data flow. Define data governance policies, including data quality, security, privacy, and compliance. Work closely with engineering, analytics, and business teams to understand requirements and deliver data solutions. Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses (Snowflake, BigQuery, Redshift). Ensure high availability, disaster recovery, and backup strategies for critical databases. Evaluate and implement emerging data technologies, tools, and frameworks to improve efficiency. Conduct data audits, performance tuning, and troubleshooting to maintain optimal performance Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 13+ years of experience in data modeling, including conceptual, logical, and physical data design. 5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query. Proven experience with NoSQL databases and data modeling techniques for non-relational data. Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark). Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems. Strong understanding of data governance, data security, and compliance best practices. Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders. Preferred Skills Experience with modern data architectures, such as data fabric or data mesh. Knowledge of graph databases and modeling for technologies like Neo4j. Proficiency with programming languages like Python, Scala, or Java. Understanding of CI/CD pipelines and DevOps practices in data engineering. Show more Show less

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(A) Job ID: R-45392-2025 Description & Requirements Introduction: A Career at HARMAN HARMAN Technology Services (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiences About the Role We are seeking an experienced “Azure Data Architect” who will develop and implement data engineering project including enterprise data hub or Big data platform. Develop and implement data engineering project including data lake house or Big data platform What You Will Do Create data pipelines for more efficient and repeatable data science projects Design and implement data architecture solutions that support business requirements and meet organizational needs Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different platforms and systems Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and solutions to improve data management processes Ensure compliance with regulatory and industry standards for data management and security. Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting. Ensure data quality, accuracy, and consistency across all data sources. Knowledge of ETL and data integration tools such as Informatica, Qlik Talend, and Apache NiFi. Experience with data modeling and design tools such as ERwin, PowerDesigner, or ER/Studio Knowledge of data governance, data quality, and data security best practices Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with programming languages such as Python, Java, or Scala. Experience with data visualization tools such as Tableau, Power BI, or QlikView. Understanding of analytics and machine learning concepts and tools. Knowledge of project management methodologies and tools to manage and deliver complex data projects. Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such as MongoDB and Cassandra. Strong expertise in cloud-based databases such as AWS 3/ AWS glue , AWS Redshift, Iceberg/parquet file format Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks , and Kafka to process and analyze large volumes of data. Proficient in data integration techniques to combine data from various sources into a centralized location. Strong data modeling, data warehousing, and data integration skills. What You Need 10+ years of experience in the information technology industry with strong focus on Data engineering, architecture and preferably as data engineering lead 8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects. Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. Candidate should have demonstrated the ability to manage data projects and diverse teams. Should have experience in creating data and analytics solutions. Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication Problem-solving, communication, and collaboration skills. Good knowledge of data visualization and reporting tools Ability to normalize and standardize data as per Key KPIs and Metrics Develop and implement data engineering project including data lakehouse or Big data platform Develop and implement data engineering project including data lakehouse or Big data platform What is Nice to Have Knowledge of Azure Purview is must Knowledge of Azure Data fabric Ability to define reference data architecture Snowflake Certified in SnowPro Advanced Certification Ability to define reference data architecture Cloud native data platform experience in AWS or Microsoft stack Knowledge about latest data trends including datafabric and data mesh Robust knowledge of ETL and data transformation and data standardization approaches Key contributor on growth of the COE and influencing client revenues through Data and analytics solutions Lead the selection, deployment, and management of Data tools, platforms, and infrastructure. Ability to guide technically a team of data engineers Oversee the design, development, and deployment of Data solutions Define, differentiate & strategize new Data services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around Data Network with domain experts Collaborate with client teams to understand their business challenges and needs. Develop and propose Data solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders Build re-usable Methodologies, Pipelines & Models What Makes You Eligible Build and manage a high-performing team of Data engineers and other specialists. Foster a culture of innovation and collaboration within the Data team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the Data team Collaborate with other stakeholders across the company to align the vision and goals Communicate and present the Data capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the Data domain What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.). Professional development opportunities through HARMAN University’s business and leadership academies. An inclusive and diverse work environment that fosters and encourages professional and personal development. “Be Brilliant” employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(A) Job ID: R-45392-2025 Description & Requirements Introduction: A Career at HARMAN HARMAN Technology Services (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiences About the Role We are seeking an experienced “Azure Data Architect” who will develop and implement data engineering project including enterprise data hub or Big data platform. Develop and implement data engineering project including data lake house or Big data platform What You Will Do Create data pipelines for more efficient and repeatable data science projects Design and implement data architecture solutions that support business requirements and meet organizational needs Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different platforms and systems Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and solutions to improve data management processes Ensure compliance with regulatory and industry standards for data management and security. Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting. Ensure data quality, accuracy, and consistency across all data sources. Knowledge of ETL and data integration tools such as Informatica, Qlik Talend, and Apache NiFi. Experience with data modeling and design tools such as ERwin, PowerDesigner, or ER/Studio Knowledge of data governance, data quality, and data security best practices Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with programming languages such as Python, Java, or Scala. Experience with data visualization tools such as Tableau, Power BI, or QlikView. Understanding of analytics and machine learning concepts and tools. Knowledge of project management methodologies and tools to manage and deliver complex data projects. Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such as MongoDB and Cassandra. Strong expertise in cloud-based databases such as AWS 3/ AWS glue , AWS Redshift, Iceberg/parquet file format Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks , and Kafka to process and analyze large volumes of data. Proficient in data integration techniques to combine data from various sources into a centralized location. Strong data modeling, data warehousing, and data integration skills. What You Need 10+ years of experience in the information technology industry with strong focus on Data engineering, architecture and preferably as data engineering lead 8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects. Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. Candidate should have demonstrated the ability to manage data projects and diverse teams. Should have experience in creating data and analytics solutions. Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication Problem-solving, communication, and collaboration skills. Good knowledge of data visualization and reporting tools Ability to normalize and standardize data as per Key KPIs and Metrics Develop and implement data engineering project including data lakehouse or Big data platform Develop and implement data engineering project including data lakehouse or Big data platform What is Nice to Have Knowledge of Azure Purview is must Knowledge of Azure Data fabric Ability to define reference data architecture Snowflake Certified in SnowPro Advanced Certification Ability to define reference data architecture Cloud native data platform experience in AWS or Microsoft stack Knowledge about latest data trends including datafabric and data mesh Robust knowledge of ETL and data transformation and data standardization approaches Key contributor on growth of the COE and influencing client revenues through Data and analytics solutions Lead the selection, deployment, and management of Data tools, platforms, and infrastructure. Ability to guide technically a team of data engineers Oversee the design, development, and deployment of Data solutions Define, differentiate & strategize new Data services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around Data Network with domain experts Collaborate with client teams to understand their business challenges and needs. Develop and propose Data solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders Build re-usable Methodologies, Pipelines & Models What Makes You Eligible Build and manage a high-performing team of Data engineers and other specialists. Foster a culture of innovation and collaboration within the Data team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the Data team Collaborate with other stakeholders across the company to align the vision and goals Communicate and present the Data capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the Data domain What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.). Professional development opportunities through HARMAN University’s business and leadership academies. An inclusive and diverse work environment that fosters and encourages professional and personal development. “Be Brilliant” employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.