1882 Data Architecture Jobs - Page 50

Job Title - S&CGN - Tech Strategy & Advisory - Data on Cloud - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7A Must-have skills: Data Architecture Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. Practice Overview: Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon/Mumbai/Bangalore/Pune/Hyderabad/Chennai/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, its more important than ever to have an innovation advisor who can create a new vision or put one into place to solve the clients toughest business problems. Specialize in management or technology consulting to transform the world's leading organizations by building innovative business solutions as their trusted advisor by: Helping Clients :Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments. Enhancing your Skillset: Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. Transforming Businesses :Developing customized, next-generation products and services that help clients shift to new business models designed for today's connectedlandscape of disruptive technologies Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling an architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Lead business development activities and assist the team to achieve sales targets Experience in participating in client presentations & orals for proposal defense etc. Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in effectively communicating the target state, architecture & topology on cloud to clients Deep understanding of Data and Analytics platforms, data integration w/ cloud and industry best practices in data governance and management Provide thought leadership to the downstream teams for developing offerings and assets Mentoring and developing our people Professional & Technical Skills: - Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment. Experience: We are looking for experienced professionals with information strategy, data architecture, data modernization, data governance, data management, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience MDM / DQ/ DG Architect - Data Governance & Management SME for areas including Data Quality, MDM, Metadata, data lineage, data catalog. Experience one or more technologies in this space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Qualification Experience: 8-10Years Educational Qualification: Any Degree

Practice Overview: Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon / Mumbai / Bangalore / Kolkata / Pune Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Architect large scale data lake, DW, and Delta Lake on cloud solutions using AWS, Azure, GCP, Ali Cloud, Snowflake, Hadoop, or Cloudera Design Data Mesh Strategy and Architecture Build strategy and roadmap for data migration to cloud Establish Data Governance Strategy & Operating Model Implementing programs/interventions that prepare the organization for implementation of new business processes Deep understanding of Data and Analytics platforms, data integration w/ cloud Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data architecture, data governance, data mesh, data security and management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Experience: We are looking for experienced professionals with Data strategy, data architecture, data on cloud, data modernization, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Netezza Developer Preferred Skills: Technology-> Data Management - Data Store-> Netezza

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently

Project description We are seeking a highly skilled Data Modelling Expert with deep experience in the Avaloq Core Banking platform to join our technology team. The ideal candidate will be responsible for designing, maintaining, and optimizing complex data models that support our banking products, client data, and regulatory reporting needs. This role requires a blend of domain expertise in banking and wealth management, strong data architecture capabilities, and hands-on experience working with the Avaloq platform. Responsibilities Design, implement, and maintain conceptual, logical, and physical data models within the Avaloq Core Banking system. Collaborate with business analysts, product owners, and Avaloq parameterisation teams to translate business requirements into robust data models. Ensure alignment of data models with Avaloq's object model and industry best practices. Perform data profiling, quality checks, and lineage tracing to support regulatory and compliance requirements (e.g., Basel III, MiFID II, ESG). Support integration of Avaloq data with downstream systems (e.g., CRM, data warehouses, reporting platforms). Provide expert input on data governance, metadata management, and model documentation. Contribute to change requests, upgrades, and data migration projects involving Avaloq. Collaborate with cross-functional teams to drive data consistency, reusability, and scalability. Review and validate existing data models, identify gaps or optimisation opportunities. Ensure data models meet performance, security, and privacy requirements. Skills Must have Proven experience (5+ years) in data modelling or data architecture, preferably within financial services. 3+ years of hands-on experience with Avaloq Core Banking Platform, especially its data structures and object model. Strong understanding of relational databases and data modelling tools (e.g., ER/Studio, ERwin, or similar). Proficient in SQL and data manipulation in Avaloq environments. Knowledge of banking products, client lifecycle data, and regulatory data requirements. Familiarity with data governance, data quality, and master data management concepts. Experience working in Agile or hybrid project delivery environments. Nice to have Exposure to Avaloq Scripting or parameterisation is a strong plus. Experience integrating Avaloq with data lakes, BI/reporting tools, or regulatory platforms. Understanding of data privacy regulations (GDPR, FINMA, etc.). Certification in Avaloq or relevant financial data management domains is advantageous. Other Languages EnglishC1 Advanced Seniority Senior

Project description You will be working in a global team that manages and performs a global technical control. You'll be joining Assets Management team which is looking after asset management data foundation and operates a set of in-house developed tooling. As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future. Responsibilities Design, develop and maintain/support Power BI workflows to take data from multiple sources to make it ready for analytics and reporting. Optimize existing workflows to ensure performance, scalability and reliability. Support the automation of manual processes to improve operational efficiency. Document workflows, processes, and best practices for knowledge sharing. Provide training and mentorship to other team members on Alteryx development. Collaborate with other members of the team to deliver data solutions for the program. Skills Must have Proficiency in Power BI Desktop, Power BI Service (5+ yrs of experience) Experience with creating interactive dashboards, custom visuals, and reports. Data Modeling: Strong understanding of data modeling concepts, including relationships, calculated columns, measures, and hierarchies. Expertise in using DAX (Data Analysis Expressions) for complex calculations. SQL and Database Management: Proficiency in SQL to extract, manipulate, and analyze data from databases. Knowledge of database design and querying. ETL (Extract, Transform, Load) Tools: Experience with data transformation and cleaning using tools like Power Query, SSIS, or other ETL tools. Nice to have Data Architecture & EngineeringDesign and implement efficient and scalable data warehousing solutions using Azure Databricks and Microsoft Fabric. Business Intelligence & Data VisualizationCreate insightful Power BI dashboards to help drive business decisions. Other Languages EnglishC1 Advanced Seniority Senior

Project description You will be working in a global team that manages and performs a global technical control. You'll be joining Assets Management team which is looking after asset management data foundation and operates a set of in-house developed tooling. As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future. Responsibilities Design, develop, and maintain scalable data solutions using Starburst. Collaborate with cross-functional teams to integrate Starburst with existing data sources and tools. Optimize query performance and ensure data security and compliance. Implement monitoring and alerting systems for data platform health. Stay updated with the latest developments in data engineering and analytics. Skills Must have Bachelor's degree or Masters in a related technical field; or equivalent related professional experience. Prior experience as a Software Engineer applying new engineering principles to improve existing systems including leading complex, well defined projects. Strong knowledge of Big-Data Languages including: SQL Hive Spark/Pyspark Presto Python Strong knowledge of Big-Data Platforms, such as:o The Apache Hadoop ecosystemo AWS EMRo Qubole or Trino/Starburst Good knowledge and experience in cloud platforms such as AWS, GCP, or Azure. Continuous learner with the ability to apply previous experience and knowledge to quickly master new technologies. Demonstrates the ability to select among technology available to implement and solve for need. Able to understand and design moderately complex systems. Understanding of testing and monitoring tools. Ability to test, debug, fix issues within established SLAs. Experience with data visualization tools (e.g., Tableau, Power BI). Understanding of data governance and compliance standards. Nice to have Data Architecture & EngineeringDesign and implement efficient and scalable data warehousing solutions using Azure Databricks and Microsoft Fabric. Business Intelligence & Data VisualizationCreate insightful Power BI dashboards to help drive business decisions. Other Languages EnglishC1 Advanced Seniority Senior

Your Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Your Profile 4+ years of experience in data architecture, data warehousing, and cloud data solutions. Minimum 3+ years of hands-on experience with End to end Snowflake implementation. Experience in developing data architecture and roadmap strategies with knowledge to establish data governance and quality frameworks within Snowflake Expertise or strong knowledge in Snowflake best practices, performance tuning, and query optimisation. Experience with cloud platforms like AWS or Azure and familiarity with Snowflakes integration with these environments. Strong knowledge in at least one cloud(AWS or Azure) is mandatory Solid understanding of SQL, Python, and scripting for data processing and analytics. Experience in leading teams and managing complex data migration projects. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Knowledge on new Snowflake features,AI capabilities and industry trends to drive innovation and continuous improvement. Skills (competencies) Verbal Communication

The Product Owner III will be responsible for defining and prioritizing features and user stories, outlining acceptance criteria, and collaborating with cross-functional teams to ensure successful delivery of product increments. This role requires strong communication skills to effectively engage with stakeholders, gather requirements, and facilitate product demos. The ideal candidate should have a deep understanding of agile methodologies, experience in the insurance sector, and possess the ability to translate complex needs into actionable tasks for the development team. Key Responsibilities: Define and communicate the vision, roadmap, and backlog for data products. Manages team backlog items and prioritizes based on business value. Partners with the business owner to understand needs, manage scope and add/eliminate user stories while contributing heavy influence to build an effective strategy. Translate business requirements into scalable data product features. Collaborate with data engineers, analysts, and business stakeholders to prioritize and deliver impactful solutions. Champion data governance , privacy, and compliance best practices. Act as the voice of the customer to ensure usability and adoption of data products. Lead Agile ceremonies (e.g., backlog grooming, sprint planning, demos) and maintain a clear product backlog. Monitor data product performance and continuously identify areas for improvement. Support the integration of AI/ML solutions and advanced analytics into product offerings. Required Skills & Experience: Proven experience as a Product Owner, ideally in data or analytics domains. Strong understanding of data engineering , data architecture , and cloud platforms (AWS, Azure, GCP). Familiarity with SQL , data modeling, and modern data stack tools (e.g., Snowflake, dbt, Airflow). Excellent stakeholder management and communication skills across technical and non-technical teams. Strong business acumen and ability to align data products with strategic goals. Experience with Agile/Scrum methodologies and working in cross-functional teams. Ability to translate data insights into compelling stories and recommendations .

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

As Consultant, you are responsible to develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new mobile solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Configure Datastax Cassandra as per requirement of the project solution Design the database system specific to Cassandra in consultation with the data modelers, data architects and etl specialists as well as the microservices/ functional specialists. Thereby produce an effective database system in Cassandra according to the solution & client's needs and specifications. Interface with functional & data teams to ensure the integrations with other functional and data systems are working correctly and as designed. Participate in responsible or supporting roles in different tests or UAT that involve the DataStax Cassandra database. The role will also need to ensure that the Cassandra database is performing and error free. This will involve troubleshooting errors and performance issues and resolution of the same as well as plan for further database improvement. Ensure the database documentation & operation manual is up to date and usable Preferred technical and professional experience Has expertise, experience and deep knowledge in the configuration, design, troubleshooting of NoSQL server software and related products on Cloud, specifically DataStax Cassandra. Has knowledge/ experience in other NoSQl/ Cloud database. Installs, configures and upgrades RDBMS or NoSQL server software and related products on Cloud

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Databricks including Spark-based ETL, Delta Lake Good to have skills:Pyspark Job Summary We are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data and Analytics team. The ideal candidate will have deep expertise in Databricks and cloud data warehousing, with a proven track record of designing and building scalable data pipelines, optimizing data architectures, and enabling robust analytics capabilities. This role involves working collaboratively with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include: Roles and Responsibilities Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other modern tools. Architect, implement, and manage cloud-based data warehousing solutions on Databricks (Lakehouse Architecture) Develop and maintain optimized data lake architectures to support advanced analytics and machine learning use cases. Collaborate with stakeholders to gather requirements, design solutions, and ensure high-quality data delivery. Optimize data pipelines for performance and cost efficiency. Implement and enforce best practices for data governance, access control, security, and compliance in the cloud. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Lead and mentor junior engineers, fostering a culture of continuous learning and innovation. Excellent communication skills Ability to work independently and along with client based out of western Europe. Professional and Technical Skills 3.5-5 years of experience in Data Engineering roles with a focus on cloud platforms. Proficiency in Databricks, including Spark-based ETL, Delta Lake, and SQL. Strong experience with one or more cloud platforms (AWS preferred). Handson Experience with Delta lake, Unity Catalog, and Lakehouse architecture concepts. Strong programming skills in Python and SQL; experience with Pyspark a plus. Solid understanding of data modeling concepts and practices (e.g., star schema, dimensional modeling). Knowledge of CI/CD practices and version control systems (e.g., Git). Familiarity with data governance and security practices, including GDPR and CCPA compliance. Additional Information Experience with Airflow or similar workflow orchestration tools. Exposure to machine learning workflows and MLOps. Certification in Databricks, AWS Familiarity with data visualization tools such as Power BI (do not remove the hyperlink)Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data profiling and data cleansing methodologies.- Familiarity with database management systems and SQL.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data architecture and collaborating with cross-functional teams to optimize data processes. 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.- Expected to provide solutions to problems that apply across multiple teams.- Lead data modeling initiatives to design and implement data structures.- Optimize data storage and retrieval processes.- Develop and maintain data pipelines for efficient data flow. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database management systems.- Experience with data warehousing and ETL processes.- Knowledge of data governance and compliance.- Hands-on experience with data visualization tools. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.PFB Education details- A 15 years full time education is required. Qualification 15 years full time education

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 : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Data Architect & Modeler Project Role Description Data Model, Design, build and lead the complex ETL data integration pipelines to meet business process and application requirements. Management Level :9Work Experience :6+ yearsWork Location :AnyMust have skills :Data Architecture Principles Good to have skills :Data Modeling, Data Architect, Informatica PowerCenter, Informatica Data Quality, SAP BusinessObjects Data Services, SQL, PL/SQL, SAP HANA DB, MS Azure, Python, ErWin, SAP Power Designer Job :Data Architect, Modeler, and data Integration LeadKey Responsibilities:1) Working on building Data models, Forward and Reverse Engineering.2) Working on Data and design analysis and working with data analysts team on data model design.3) Working on presentations on design, end to end flow and data models.4) Work on new and existing data models using Power designer tools and other designing tools like Visio5) Work with functional SMEs, BAs to review requirements, mapping documents Technical Experience:1) Should have good understanding of ETL design concepts like CDC, SCD, Transpose/ pivot, Updates, Validation2) Should have strong understanding of SQL concepts, Data warehouse concepts and can easily understand data technically and functionally.3) Good understanding of various file formats like xml, delimited, fixed width etc.4) Understand the concepts of data quality, data cleansing, data profiling5) Good to have Python and other new data technologies and cloud exposure.6) Having Insurance background is a plus. Educational Qualification :15 years of fulltime education with BE/B Tech or equivalent Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of relational and non-relational database design principles.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to translate business requirements into technical specifications. Qualification 15 years full time education

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 Building Tool Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and organizational standards, facilitating smooth data integration and accessibility across different systems. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes within the organization. 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.- Facilitate training sessions and workshops to enhance team capabilities.- Continuously evaluate and improve data modeling processes to ensure efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool.- Strong understanding of data modeling techniques and methodologies.- Experience with data integration and ETL processes.- Familiarity with database management systems and SQL.- Ability to translate business requirements into technical specifications. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Building Tool.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

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 Building Tool Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and organizational standards, facilitating smooth data integration and accessibility across different systems. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes within the organization. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool.- Strong understanding of data modeling techniques and methodologies.- Experience with data integration and ETL processes.- Familiarity with database management systems and SQL.- Ability to translate business requirements into technical specifications. Additional Information:- The candidate should have minimum 12 years of experience in Data Building Tool.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on various data-related tasks and collaborating with teams to optimize data processes. 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.- Expected to provide solutions to problems that apply across multiple teams.- Develop innovative data solutions to meet business requirements.- Optimize data pipelines for efficiency and scalability.- Implement data governance policies to ensure data quality and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling and database design.- Experience with ETL tools and processes.- Knowledge of cloud platforms and big data technologies.- Good To Have Skills: Data management and governance expertise. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Architecture Principles.- This position is based at our Bengaluru office.Education information - - A 15 years full-time education is required. Qualification 15 years full time education

Job Title - S&CGN - Tech Strategy & Advisory - SAP S/4 MDG - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7A Must-have skills: Data Architecture Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : Strong functional understanding and hands-on experience of SAP MDM / MDG backed up with implementation projects and aligned with SAP MM, SD, FICO, PP processes Responsible for process design, configuration, assist with testing, gather requirements and ultimately setup a full functional development for MDG-S, MDG-C and MDG-MM, test, and production environment to deliver MDG objects and integration solutions Ability to work on customized SAP environment and integrated non-SAP interfaces. Ability to understand customer demands, challenge requirements in terms of business value and effort / complexity & translate them into solutions. Adept in developing, delivering and supporting analytic solutions based on business requirements. Having understanding of Analytical data modelling, knowledge on data models - attribute, analytical and calculation will be appreciated. Good Knowledge of SAP Services Business Processes knowledge and understanding of DataWarehouseCloud experience Excellent problem-solving skills & deep understanding of processes from business & functional perspective. Excellent Verbal & Written Communication Skills and Proficiency in MS Office applications Ability to work with clients & teams from multiple geographies Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Position: Data Engineer - MS Fabric Purpose of the Position: As an MS Fabric Data engineer you will be responsible for designing, implementing, and managing scalable data pipelines. Strong experience in implementation and management of lake House using MS Fabric Azure Tech stack (ADLS Gen2, ADF, Azure SQL) . Proficiency in data integration techniques, ETL processes and data pipeline architectures. Well versed in Data Quality rules, principles and implementation. Location: Bangalore/ Pune/ Nagpur/ Chennai Type of Employment: FTE Key Result Areas and Activities: 1. Data Pipeline Development Optimization Design and implement data pipelines using MS Fabric. Manage and optimize ETL processes for data extraction, transformation, and loading. Conduct performance tuning for data storage and retrieval to enhance efficiency. 2. Data Quality, Governance Documentation Ensure data quality and integrity across all data processes. Assist in designing data governance frameworks and policies. Generate and maintain documentation for data architecture and data flows. 3. Cross-Functional Collaboration Requirement Gathering Collaborate with cross-functional teams to gather and define data requirements. Translate functional and non-functional requirements into system specifications. 4. Technical Leadership Support Provide technical guidance and support to junior data engineers. Participate in code reviews and ensure adherence to coding standards. Troubleshoot data-related issues and implement effective solutions. Technical Experience: Must Have: Proficient in MS Fabric, Azure Data Factory, and Azure Synapse Analytics with deep knowledge of Fabric components like writing Notebook, Lakehouses, OneLake, Data Pipelines, and Real-Time Analytics. Skilled in integrating Fabric capabilities for seamless data flow, governance, and cross-team collaboration. Strong grasp of Delta Lake, Parquet, distributed data systems, and various data formats (JSON, XML, CSV, Parquet). Experienced in ETL/ELT processes, data warehousing, data modeling, and data quality frameworks. Proficient in Python, PySpark, Scala, Spark SQL, and T-SQL for complex data transformations. Familiar with Agile methodologies and tools like JIRA, with hands-on experience in monitoring tools and job scheduling. Good To Have: Familiarity with Azure cloud platforms and cloud data services MS Purview, Open Source libraries like Dequee, Pydequee, Great Expectation for DQ implementation Develop data models to support business intelligence and analytics Experience with PowerBI dashboard Experience with Databricks Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field 5+ years of experience in MS Fabric/ADF/Synapse Qualities: Experience with or knowledge of Agile Software Development methodologies . Able to consult, write, and present persuasively.

Data Architect- Total Yrs. of Experience* 15+ Relevant Yrs. of experience* 8+ Detailed JD *(Roles and Responsibilities) Leadership qualities and ability to lead a team of 8 data engineers + PowerBI resources Should be able to engage with business users and IT to provide consultation on data and visualization needs Excellent communication, articulation, and presentation skills Exposure to data architecture, ETL architecture Design, develop, and maintain scalable data pipelines using Python, ADF, and Databricks Implement ETL process to extract, transform, and load data from various sources into Snowflake Ensure data is processed efficiently and is made available for analytics and reporting 8+ years of experience in data engineering, with a focus on Python, ADF, Snowflake, Databricks, and ETL processes. Proficiency in SQL and experience with cloud-based data storage and processing. Strong problem-solving skills and the ability to work in a fast-paced environment Experience with Agile methodologies and working in a collaborative team environment. Certification in Snowflake, Azure, or other relevant technologies is an added advantage Bachelors degree in computer science engineering, Information Systems or equivalent field Mandatory skills* Python, Snowflake, Azure Data Factory, Databricks, SQL Desired skills* 1. Strong Oral and written communication 2. Proactive and accountable of the deliverables quality and timely submission Domain* Retail Work Location* India Location- PAN India Yrs of Exp-15+Yrs