Z3_Data architect

NTT DATA, Inc.; Indianapolis (IN); On-site; USD 16,000 - 26,000; Full time

Job summary

NTT DATA is seeking a Z3_Data architect to shape data architecture in a cloud/hybrid Azure environment. You will define data models, integration approaches, and migration plans for S/4HANA data via SAP BDC, CDS views and APIs.

Lead data teams, govern data quality and security, and align architecture with business strategy across SAP and Databricks platforms. The role focuses on scalable, compliant data solutions.

Qualifications

• Strong experience with relational databases (SQL Server) and big-data tech (Spark, Databricks).
• Deep data modeling skills across conceptual, logical and physical layers.
• Expertise in ETL/ELT and data integration from multiple sources.
• CI/CD, GitHub workflows and Azure DevOps practices are familiar to you.
• Experience with Azure data services like Data Factory, Data Lake, Synapse, Databricks and SQL.

Responsibilities

• Develop the data architecture roadmap to collect, store, process, and consume data.
• Define SAP data structures, extraction mechanisms, and integration patterns with CDS views/APIs.
• Lead data migration planning, sequencing, validation and cutover principles.
• Architect data models and data warehousing/lake designs for Azure stack.
• Ensure data quality, governance, security and regulatory compliance across platforms.

Skills

SQL Server

Databricks

Data modeling

ETL/ELT

Azure

Python

Big data

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Synapse

Azure Databricks

Power BI

SQL Server

Job description

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

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.
• 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.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .