Z3_Data architect

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a  architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

• Develop the data architecture roadmap: define how data will be collected, stored, processed, integrated and consumed to support business strategy.
• Understand SAP business processes and their underlying data structures across areas such as:
  Sales Inventory Supply Chain Master Data.
• Understand the relationship between SAP business processes, transactional data, master data, and analytical requirements.
• Identify appropriate SAP data extraction mechanisms and ensure extraction designs are aligned with SAP standards.
• Work with SAP functional and technical teams to understand source-system data models, CDS views, APIs, standard extractors and other relevant SAP data access mechanisms.
• Ensure the target data platform does not unnecessarily replicate SAP application logic or introduce uncontrolled transformation into downstream layers.
• Define appropriate ownership and responsibility between SAP, BDC, Databricks, and Power BI.
• Define the architectural approach for using SAP Business Data Cloud (BDC) as the primary data extraction/integration mechanism for S/4
  
  HANA data.
• Design data models (conceptual, logical, physical), data flows, data integration architectures (ETL/ELT), data warehousing and data-lake approaches.
• Evaluate and select Azure data services (e.g., Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Azure Data Factory) and integrate them into the architecture.
• Plan and execute data migrations (on-premises to Azure / hybrid cloud) and modernisation of legacy data systems.
• Ensure data quality, data governance, metadata management, security and compliance (including regulatory requirements like GDPR) are addressed in the architecture.
• Optimize performance, scalability, reliability of data solutions (query performance, storage cost, ingestion throughput).
• Serve as a technical leader and mentor for data teams (data engineers, BI developers, etc.), establish architecture standards and best practices.
• Document architecture diagrams, data models, design decisions and ensure alignment across teams.
• Stay current with emerging data technologies, especially in Azure, and drive continuous improvement of the data infrastructure.
• Provide architectural leadership for data migration and transformation activities.
• Define migration approaches, sequencing, dependencies, reconciliation, validation, and cutover principles.
• Support source-to-target mapping and data transformation design.
• Identify data quality and legacy-data risks that could impact migration or business readiness.
• Work with delivery teams to establish repeatable and controlled migration patterns.

• Strong experience with relational databases (e.g., SQL Server) as well as big-data technologies like Spark and Databricks
• Deep knowledge of data modelling (conceptual/logical/physical) and design of data warehouses, data lakes, data marts
• Expertise in ETL/ELT processes and data integration from disparate sources.
• Expertise in CI/CD, github, github setup and github actions and Azure Dev Ops Repos
• Familiarity with Azure data services: e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, Azure SQL, etc
• Cloud architectural experience: hybrid cloud, IaaS/PaaS, storage, compute, network considerations.
• Data governance, data security and regulatory compliance knowledge with RBAC, RLS, Data lineage etc.
• Real-time Data Processing and Streaming Architectures (something like Kafka, databricks lakeflow etc.)
• Advanced Monitoring, Logging, and Alerting (Costs, Performace etc.)
• Performance optimisation, scalability, cost management of data platforms.
• Scripting/programming ability - SQL and Python are essential
• Good understanding of analytics/BI workflows (dashboards, reporting, self‑service analytics) is a plus.
• Familiarity with Azure security, identity, governance (Azure AD, RBAC, encryption at rest, network security)
• Migrating from on-premises or other clouds into Azure: understanding data movement, hybrid connectivity, cost optimisation in Azure

10+ years of experience in data architecture, data engineering roles in Azure cloud.

Experience leading architectural design of data platforms, especially in cloud/hybrid environments.

Proven experience delivering large‑scale business or…