Job Description

Req ID: 388546

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 Z3_Data architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Roles and responsibilities

• 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/4HANA 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.

Data Migration

• 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.

Skills and Qualifications

• 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 DevOps 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

Qualifications

• 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 technology transformation programmes.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, 

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