Sap Datasphere with Data bricks

Tata Consultancy Services; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks an experienced Data Platform Architect to design and implement enterprise-grade data platforms. You will lead integration between SAP cloud products and cloud storage, ensuring robust data governance and scalable data pipelines.

Role requires hands-on expertise with SAP Datasphere and Databricks, and collaboration with SAP functional teams and data science groups. Strong communication to stakeholders is essential.

Qualifications

• Hands-on SAP Datasphere production experience (Space Management, Data Builder, Business Builder).
• 3+ years Databricks experience building lakehouses with PySpark and Delta Lake.
• Deep understanding of integration patterns between SAP cloud products and ADLS/S3 via Kafka or OData/CDI streaming.
• Experience with Unity Catalog for data governance and lineage.
• Ability to collaborate with SAP functional teams and cloud data science teams.
• Familiar with CI/CD tools (Git, Azure DevOps, GitHub Actions) for Databricks notebooks and Datasphere transports.
• Excellent written and verbal communication for executive presentations.

Skills

SAP Datasphere

Databricks

Advanced Data Ingestion

Unity Catalog

Cross-Ecosystem Fluency

CI/CD

Communication

Job description

Must Have Skills

Technical Core

• SAP Datasphere Expertise: 2 years of production experience with SAP Datasphere, including Space Management, Data Builder, Business Builder, and integration with S/4HANA or BW/4HANA.
• Databricks Mastery: 3+ years of hands-on experience building enterprise-grade lakehouses using Databricks, PySpark, and Delta Lake.
• Advanced Data Ingestion: Deep understanding of modern integration patterns between SAP cloud products and hyperscaler storage (ADLS Gen2, AWS S3) via Kafka, SAP FedML, or OData/CDI streaming.
• Data Governance: Strong experience with Unity Catalog for managing cross-platform data access and data lineage.
• Cross-Ecosystem Fluency: Ability to speak the language of both traditional SAP functional teams (ABAP, S/4 schemas) and modern cloud data science teams.
• Agile & DevOps: Experience with CI/CD tools (Git, Azure DevOps, GitHub Actions) adapted for Databricks notebooks and Datasphere transports.
• Communication: Exceptional communication skills to present architectural decisions to executive stakeholders and technical teams alike.