1817 Data Architecture Jobs - Page 38

Req ID: 323226 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Solution Architect Sr. Advisor to join our team in Bengaluru, India, Karn taka (IN-KA), India (IN). Key Responsibilities: Design data platform architectures (data lakes, lakehouses, DWH) using modern cloud-native tools (e.g., Databricks, Snowflake, BigQuery, Synapse, Redshift). Architect data ingestion, transformation, and consumption pipelines using batch and streaming methods. Enable real-time analytics and machine learning through scalable and modular data frameworks. Define data governance models, metadata management, lineage tracking, and access controls. Collaborate with AI/ML, application, and business teams to identify high-impact use cases and optimize data usage. Lead modernization initiatives from legacy data warehouses to cloud-native and distributed architectures. Enforce data quality and observability practices for mission-critical workloads. Required Skills: 10+ years in data architecture, with strong grounding in modern data platforms and pipelines. Deep knowledge of SQL/NoSQL, Spark, Delta Lake, Kafka, ETL/ELT frameworks. Hands-on experience with cloud data platforms (AWS, Azure, GCP). Understanding of data privacy, security, lineage, and compliance (GDPR, HIPAA, etc.). Experience implementing data mesh/data fabric concepts is a plus. Expertise in technical solutions writing and presenting using tools such as Word, PowerPoint, Excel, Visio etc. High level of executive presence to be able to articulate the solutions to CXO level executives. Preferred Qualifications: Certifications in Snowflake, Databricks, or cloud-native data platforms. Exposure to AI/ML data pipelines, MLOps, and real-time data applications. Familiarity with data visualization and BI tools (Power BI, Tableau, Looker, etc.).

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: EMM Intune. Experience5-8 Years.

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: DevOps-Terraform. Experience5-8 Years.

Req ID: 326448 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a C# .NET Senior Developer (Remote) to join our team in Bangalore, Karn taka (IN-KA), India (IN). C# .NET Senior Developer (Remote) Who We Are: NTT DATA America strives to hire exceptional, innovative and passionate individuals who want to grow with us. Launch by NTT DATA is the culmination of the company s strategy to acquire and integrate the skills, experience, and technology of leading digital companies, backed by NTT DATA s core capabilities, global reach, and depth. How You ll Help Us: A Senior Application Developer is first and foremost a software developer who specializes in .NET C# development. You ll be part of a team focused on delivering quality software for our clients. How We Will Help You: Joining our Microsoft practice is not only a job, but a chance to grow your career. We will make sure to equip you with the skills you need to produce robust applications that you can be proud of. Whether it is providing you with training on a new programming language or helping you get certified in a new technology, we will help you grow your skills so you can continue to deliver increasingly valuable work. Once You Are Here, You Will: The Senior Applications Developer provides input and support for, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). You will participate in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. Additionally, you will collaborate with teams and support emerging technologies to ensure effective communication and achievement of objectives. The Senior Applications Developer provides knowledge / support for applications development, integration, and maintenance as well as providing input to department and project teams on decisions supporting projects. Basic Qualifications: 6+ years developing in .Net C# 3+ years of experience with Object Oriented Programming and SOLID Principles 3+ years of Rest API development 2+ years of experience working with Databases and writing stored procedures 2+ year of unit and service testing with frameworks such as xunit, Nunit, etc. 1+ year of cloud platform experience either in AWS, Azure, or GCP Preferred: Experience with CI/CD tooling i.e. Jenkins, Azure Devops etc Experience with containerization technologies e.g. Docker, Kubernetes GCP experience Ideal Mindset: Lifelong Learner: You are always seeking to improve your technical and nontechnical skills. Team Player: You are someone who wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need. Communicator: You know how to communicate your design ideas to both technical and nontechnical stakeholders, prioritizing critical information and leaving out extraneous details. Include if in India: Please note Shift Timing Requirement: 1:30pm IST -10:30 pm IST

Req ID: 329296 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Azure Data Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Role description Design, implement, and maintain data pipelines and data integration solutions using Azure Synapse Develop and optimize data models and data storage solutions on Azure Collaborate with data scientists and analysts to implement data processing and data transformation tasks. Ensure data quality and integrity through data validation and cleansing methodologies. Monitor and troubleshoot data pipelines to identify and resolve performance issues. Collaborate with cross-functional teams to understand and prioritize data requirements. Stay up-to-date with the latest trends and technologies in data engineering and Azure services. Skills:- Bachelor s degree in IT, computer science, computer engineering, or similar 8+ years of experience in Data Engineering. Microsoft Azure Synapse Analytics experience is essential. (Azure Data Factory, Dedicated SQL Pool, Lake Database, Azure Storage) Hands on experience in Spark notebooks(python or Scala) is mandatory End-to-end Data Warehouse experience: Ingestion, ETL, big data pipelines, data architecture, message queuing, BI/Reporting, and Data Security. Advanced SQL/relational database knowledge and query authoring. Demonstrated experience in design and delivering data platforms for Business Intelligence and Data Warehouse. Strong skills in handling and analysing complex, high volume data with excellent attention in details. Knowledge of data modelling and data warehousing concepts, such as DataVault or 3NF. Experience with Data Governance (Quality, Lineage, Data dictionary, and Security). Familiar with Agile methodology and Agile working environment. Ability to work alone with POs, BAs, Architects.

We are looking for a talented Data Engineer cum Database Developer with a strong background in the banking sector. The ideal candidate will have experience with SQL Server, AWS PostgreSQL, AWS Glue, and ETL tools, along with expertise in data ingestion frameworks and Control-M scheduling Key Responsibilities: Design, develop, and maintain scalable data pipelines to support data ingestion and transformation processes. Collaborate with cross-functional teams to gather requirements and implement solutions tailored to banking applications. Utilize SQL Server and AWS PostgreSQL for database development, optimization, and management. Implement data ingestion frameworks to ensure efficient and reliable data flow. Develop and maintain ETL processes using AWS Glue / other ETL tool, Control-M for scheduling Ensure data quality and integrity through validation and testing processes. Monitor and optimize system performance to support business analytics and reporting needs. Document data architecture, processes, and workflows for reference and compliance purposes. Stay updated on industry trends and best practices related to data engineering and management. Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. 4+ years of experience in data engineering and database development, preferably in the banking sector. Proficiency in SQL Server and AWS PostgreSQL. Experience with Databricks/ AWS Glue or any other ETL tools (e.g., Informatica, ADF). Strong understanding of data ingestion frameworks and methodologies. Excellent problem-solving skills and attention to detail. Knowledge of Securitization in the banking industry would be plus Strong communication skills for effective collaboration with stakeholders Familiarity with cloud-based data architectures and services. Experience with data warehousing concepts and practices. Knowledge of data privacy and security regulations in banking.

Job Title: About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone could grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage Job Description: JD - Data modeler requirement The business architecture team supports the delivery of key front office to back-office (F2B) transformation priorities of the management board. The data architecture team plays the central role of defining data model that will align the business processes and ensure data lineage, effective control and implement client strategy and reporting solutions. This will require building strong relationships with key stakeholders and help delivering tangible value. Key responsibilities: - - Define and manage data models used to implement solutions to automate business processes and controls. - Ensure the models follow bank s data modelling standards and principles and influence them as necessary. - Active partner with various functional leads % teams to socialize the data models towards adoption and execution of front-to-back solutions Skills and experience: - - 8 + years in financial services, preferably strategy and solutions in Corporate and investment Banking domain. - Strong knowledge of transaction banking domain process and controls for banking & trading business to drive conversation with business SMEs. Experience in developing models for transacting banking products is preferable. - Knowledge of loans or cash/Deposits lifecycle and or customer lifecycle and related business data required to manage operations and analytics are desirable. - Well-developed business requirements analysis skills, including good communication abilities (both spoken and listening) and stakeholder management -all levels.

Req ID: 323754 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Technical Solution Architects to join our team in Chennai, Tamil N du (IN-TN), India (IN). Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works

Req ID: 323775 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Technical Solution Architects to join our team in Bangalore, Karn taka (IN-KA), India (IN). "Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works"

Req ID: 323741 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Technical Solution Architects to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works

Req ID: 323749 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Technical Solution ArchitectsData & AI Technical Solution Architects to join our team in Pune, Mah r shtra (IN-MH), India (IN). Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works

Req ID: 328244 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a APAC Presales Solution Architect to join our team in Bangalore, Karn taka (IN-KA), India (IN). "Job Duties: Senior Data and AI Architect - Presales Grade 11 Seeking a senior data solution architect to closely work with India and APAC sales teams for technical solutioning and presales work. The Consultant is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Minimum Skills Required: Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop On-prem, Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject m"

Type: Contract (8-12 Months) Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Type: Contract (8-12 Months) Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

We are looking forward to hire SnowFlake Professionals in the following areas : Senior Snowflake Developer : Responsible for designing and implementing data pipelines, ETL processes, and data modeling in Snowflake Responsible to translate business requirements into ELT pipelines using data replication tools and data transformation tools (such as DBT) or advanced SQL scripting (views, Snowflake Store Procedure, UDF). Deep understanding of Snowflake architecture and processing Exp with performance tuning of Snowflake data warehouse, Experience working with Snowflake Functions, hands on exp with Snowflake utilities, stage and file upload features, time travel, fail safe Responsible for development, deployment, code reviews, and production support. Maintain and implement best practices for Snowflake infrastructure Hands-on in complex SQL, parsing complex data sets Primary Skills: Must have 4 to 6 yrs. in IT, 3+ years working as a Snowflake Developer, and 5+ years in Data warehouse, ETL, and BI projects. Must have experience in at least one complex implementation of a Snowflake Data Warehouse and DBT hands-on experience Expertise in Snowflake data modeling, ELT using Snowflake SQL or Modern Data Replication tools Snowflake Store Procedures / UDF / advanced SQL scripting, and standard Data Lake / Data Warehouse concepts. Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, and time travel. Expertise in deploying Snowflake features such as data sharing, events, and lake-house patterns. Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe and Big Data model techniques. Deep understanding of relational data stores, methods, and approaches (star and snowflake, dimensional modeling). Hands-on experience with DBT Core or DBT Cloud, including dev and prod deployment using CI/CD (BitBucket) is a plus. Should be able to develop and maintain documentation of the data architecture, data flow, and data models of the data warehouse. Good communication skills Python and API experience is a plus Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Position Overview We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities Data Architecture & Modeling Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) Create and maintain data lineage documentation and data dictionaries for healthcare datasets Establish data modeling standards and best practices across the organization Technical Leadership Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica Architect scalable data solutions that handle large volumes of healthcare transactional data Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) Design data models that support analytical, reporting and AI/ML needs Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality Implement data governance frameworks specific to healthcare data privacy and security requirements Establish data quality monitoring and validation processes for critical health plan metrics Lead eUorts to standardize healthcare data definitions across multiple systems and data sources. Required Qualifications Technical Skills 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data Experience with healthcare data standards and medical coding systems Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication Proven track record of leading data modeling projects in complex healthcare environments Strong analytical and problem-solving skills with ability to work with ambiguous requirements Excellent communication skills with ability to explain technical concepts to business stakeholders Experience mentoring team members and establishing technical standards. Preferred Qualifications Experience with Medicare Advantage, Medicaid, or Commercial health plan operations Cloud platform certifications (AWS, Azure, or GCP) Experience with real-time data streaming and modern data lake architectures Knowledge of machine learning applications in healthcare analytics Previous experience in a lead or architect role within healthcare organizations. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

We are seeking an experienced Data Architect to join our team , working with our UAE-based client. The ideal candidate should have 8-12 years of hands-on experience in data architecture, with at least 4 years in architectural design and integration. Strong expertise in MS Dynamics and data lake architecture is required, along with proficiency in ETL, data modeling, data integration, and data quality assurance. The candidate should have a strong problem-solving mindset, the ability to handle architectural issues, and experience in troubleshooting. They should also be a proactive contributor and a team player with a flexible attitude. The role requires immediate availability and the ability to work as per UAE timings. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote

We are seeking a highly experienced and self-driven Senior Data Engineer to design, build, and optimize modern data pipelines and infrastructure. This role requires deep expertise in Snowflake, DBT, Python, and cloud data ecosystems. You will play a critical role in enabling data-driven decision-making across the organization by ensuring the availability, quality, and integrity of data. Key Responsibilities: Design and implement robust, scalable, and efficient data pipelines using ETL/ELT frameworks. Develop and manage data models and data warehouse architecture within Snowflake . Create and maintain DBT models for transformation, lineage tracking, and documentation. Write modular, reusable, and optimized Python scripts for data ingestion, transformation, and automation. Collaborate closely with data analysts, data scientists, and business teams to gather and fulfill data requirements. Ensure data integrity, consistency, and governance across all stages of the data lifecycle. Monitor pipeline performance and implement optimization strategies for queries and storage. Follow best practices for data engineering including version control (Git), testing, and CI/CD integration. Required Skills and Qualifications: 8+ years of experience in Data Engineering or related roles. Deep expertise in Snowflake : schema design, performance tuning, security, and access controls. Proficiency in Python , particularly for scripting, data transformation, and workflow automation. Strong understanding of data modeling techniques (e.g., star/snowflake schema, normalization). Proven experience with DBT for building modular, tested, and documented data pipelines. Familiarity with ETL/ELT tools and orchestration platforms like Apache Airflow or Prefect . Advanced SQL skills with experience handling large and complex data sets. Exposure to cloud platforms such as AWS , Azure , or GCP and their data services. Preferred Qualifications: Experience implementing data quality checks and governance frameworks. Understanding of modern data stack and CI/CD pipelines for data workflows. Contributions to data engineering best practices, open-source projects, or thought leadership.

Type: Contract (8-12 Months) Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Job Title: Data Modeller Architect About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone could grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage Job Description: JD – Data modeler requirement The business architecture team supports the delivery of key front office to back-office (F2B) transformation priorities of the management board. The data architecture team plays the central role of defining data model that will align the business processes and ensure data lineage, effective control and implement client strategy and reporting solutions. This will require building strong relationships with key stakeholders and help delivering tangible value. Key responsibilities: - - Define and manage data models used to implement solutions to automate business processes and controls. - Ensure the models follow bank’s data modelling standards and principles and influence them as necessary. - Active partner with various functional leads % teams to socialize the data models towards adoption and execution of front-to-back solutions Skills and experience: - - 8 + years in financial services, preferably strategy and solutions in Corporate and investment Banking domain. - Strong knowledge of transaction banking domain process and controls for banking & trading business to drive conversation with business SMEs. Experience in developing models for transacting banking products is preferable. - Knowledge of loans or cash/Deposits lifecycle and or customer lifecycle and related business data required to manage operations and analytics are desirable. - Well-developed business requirements analysis skills, including good communication abilities (both spoken and listening) and stakeholder management -all levels.

Way of working - Remote : Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter. Position Overview: As a Data Engineer at Swiggy, you will be at the heart of our data-driven approach, collaborating with cross-functional teams to transform raw data into actionable insights. Your role will encompass and Join us as a Data Engineer at Swiggy to contribute significantly to our data ecosystem, drive operational efficiency, and be an integral part of our data-driven journey. Your expertise will play a pivotal role in influencing our strategic decisions and reshaping the food delivery landscape What will you get to do here Join hands with our Data Engineering team to ensure efficient data collection, storage, and processing. Collaborate in designing and optimizing data pipelines for seamless data movement. Work jointly on data architecture decisions to enhance analytics capabilities. Dive into large, complex datasets to create efficient and optimized queries for analysis. Identify bottlenecks and optimize data processing pipelines for improved performance. Implement best practices for query optimization, ensuring swift data retrieval. Contribute to the DataOps framework, automating data processes and enhancing data quality. Implement monitoring and alerting systems to ensure smooth data operations. Collaborate with the team to develop self-serve platforms for recurring analysis. What qualities are we looking for Bachelors or Master s degree in Engineering, Mathematics, Statistics, or a related quantitative field. 2-5 years of data engineering experience. Proficiency (2-5 years) in SQL, R, Python, Excel, etc, for effective data manipulation. Hands-on experience with Snowflake and Spark/Databricks, adept at Query Profiles and bottleneck identification. Apply creative thinking to solve real-world problems using data-driven insights. Embrace a "fail fast, learn faster" approach in a dynamic, fast-paced environment. Exhibit proficient verbal and written communication skills. Thrive in an unstructured environment, demonstrating attention to detail and self-direction. Foster collaboration and partnerships across functions.

Key Responsibilities: ETL Development and Maintenance Design, develop, and implement ETL processes using SSIS to support data integration and warehousing requirements. Maintain and enhance existing ETL workflows to ensure data accuracy and integrity. Collaborate with data analysts, data architects, and other stakeholders to understand data requirements and translate them into technical specifications. Extract, transform, and load data from various source systems into the data warehouse. Perform data profiling, validation, and cleansing to ensure high data quality. Monitor ETL processes to ensure timely and accurate data loads. Write and optimize complex SQL queries to extract and manipulate data. Work with SQL Server to manage database objects, indexes, and performance tuning. Ensure data security and compliance with industry standards and regulations. Business Intelligence and Reporting: Develop and maintain interactive dashboards and reports using Power BI or SSRS. Collaborate with business users to gather requirements and create visualizations that provide actionable insights. Integrate Power BI with other data sources and platforms for comprehensive reporting. Scripting and Automation: Utilize Python for data manipulation, automation, and integration tasks. Develop scripts to automate repetitive tasks and improve efficiency. Insurance Domain Expertise: Leverage knowledge of insurance industry processes and terminology to effectively manage and interpret insurance data. Work closely with business users and stakeholders within the insurance domain to understand their data needs and provide solutions. Qualifications Required Skills and Qualifications: Technical Skills: Proficient in SQL and experience with SQL Server. Strong experience with SSIS for ETL development and data integration. Proficiency in Python for data manipulation and scripting. Experience with Power BI/SSRS for developing interactive dashboards and reports. Knowledge of data warehousing concepts and best practices. Domain KnowledgeSolid understanding of insurance industry processes, terminology, and data structures. Experience working with insurance-related data, such as policies, claims, underwriting, and actuarial data. Additional Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Job Location

enior SAP SAC Consultant - Job Responsibilities Solution Design & Architecture Lead the design and architecture of SAP Analytics Cloud (SAC) solutions aligned with business objectives. Translate complex business requirements into technical SAC models and dashboards. Define data architecture, models (live/acquired), and connectivity with SAP and non-SAP systems (e.g., BW/4HANA, S/4HANA, HANA, SQL, etc.). Dashboard & Story Development Develop interactive and visually compelling SAC stories and dashboards using advanced scripting and calculation capabilities. Customize UI/UX using SAC features like widgets, charts, filters, and responsive pages. Data Modeling & Integration Design and build data models within SAC and integrate external datasets as needed. Ensure high performance and accuracy through optimized data transformations and blending. Configure and manage data import/export jobs and schedules. Advanced Analytics & Planning Utilize SAC s predictive capabilities, Smart Insights, and Smart Discovery to provide actionable insights. Implement and manage planning scenarios, input forms, allocation logic, and forecast models (if applicable). Stakeholder Collaboration Act as the key point of contact between business users and IT, gathering requirements and providing best-practice solutions. Conduct workshops, training sessions, and end-user support activities. Performance Optimization & Governance Optimize SAC reports and stories for performance and usability. Enforce data governance, security roles, and access controls within SAC. Project Management & Leadership Lead end-to-end project lifecycle for SAC implementations, upgrades, and enhancements. Mentor junior consultants and provide technical guidance to cross-functional teams. Documentation & Compliance Prepare technical documentation, user guides, and test scripts. Ensure compliance with internal data security and external regulatory standards. Innovation & Continuous Improvement Stay current with SAC updates, roadmap features, and SAP BTP innovations. Proactively suggest improvements to enhance analytics maturity and value delivery.

We areseeking an experienced Data Solution Architect to lead the design andimplementation of scalable, secure, and high-performing data solutions acrosscloud and hybrid environments. The ideal candidate will bring deep expertise in Data Engineering, APIs, Python, Spark/PySpark , and enterprise cloudplatforms such as AWS and Azure . This is a strategic,client-facing role that involves working closely with stakeholders, engineeringteams, and business leaders to architect and deliver robust data platforms. KeyResponsibilities: Architect end-to-end data solutions across cloud (AWS/Azure) and on-premises environments Develop and integrate RESTful APIs for data ingestion, transformation, and distribution Define data architecture standards, best practices, and governance frameworks Work with DevOps and cloud teams to deploy solutions using CI/CD and infrastructure-as-code Guide and mentor data engineering teams in solution implementation and performance optimization Ensure high availability, scalability, and data security compliance across platforms Collaborate with product owners and stakeholders to translate business needs into technical specifications Conduct architecture reviews, risk assessments, and solution validation Requirements RequiredSkills & Experience: 15 to 22 years of total experience in IT, with at least 5+ years in data architecture roles Strong experience in data processing frameworks and building the ETL solutions Proven expertise in designing and deploying solutions on AWS and Azure cloud platforms Hands-on experience with data integration, real-time streaming , and API-based data access Proficient in data modeling (structured, semi-structured, unstructured data) Deep understanding of data lakes, data warehouses, and modern data mesh/architecture patterns Experience with tools such as Airflow, Glue, Data bricks, Synapse, Redshift, or similar Knowledge of security, compliance, and governance practices in large-scale data platforms Strong communication, leadership, and client-facing skills Benefits Standard Company Benefits ","