Data Sphere

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

Job summary

Tata Consultancy Services is seeking an SAP Datasphere Consultant to design and implement enterprise data models and data flows across SAP Datasphere, S/4HANA Cloud, and cloud storage. This PAN India role calls for experienced professionals across consultant, lead, and solution-architect bands.

You will build semantic views, analytical models, and data pipelines, while enabling hybrid ingestion patterns to connect SAP cloud ecosystems with Azure ADLS Gen2 and AWS S3.

Qualifications

• Hands-on experience with SAP Datasphere production workloads.
• Experience with SAP Datasphere in enterprise-scale data modeling and governance.
• Knowledge of data lakehouse patterns and modern ingestion approaches.

Responsibilities

• Design, build, and maintain enterprise data models in SAP Datasphere.
• Develop semantic views, analytical models, intelligent lookups, data flows, and task chains.
• Implement ingestion patterns to connect SAP cloud ecosystems with hyperscalers (Azure, AWS).
• Collaborate on reporting architectures using SAP Analytics Cloud to create complex reports and dashboards.
• Bridge legacy data with ABAP CDS views, ODP BW extractors, and Open ODS views.

Skills

Hands-on SAP Datasphere

Data lakehouse patterns

Data governance

SAC reporting

Hybrid integration

Education

Full-time B.E./B.Tech/M.E./M.Tech/MCA/M.Sc.

Tools

Kafka

OData streaming

Azure ADLS Gen2

AWS S3

Databricks

PySpark

Job description

Job Description (JD): SAP Datasphere ConsultantRole Overview

• Role Category: Software Development / BI & Analytics
• Functional Area: Data Warehousing, Enterprise AI Data Foundations, and Analytics
• Practice Unit: Next-Gen Data & Analytics (Other Niche Practice)
• Experience Range: 5 Years and above (Positions available across Consultant, Lead, and Solution Architect bands)
• Job Location: PAN India

Key Responsibilities & Deliverables

• Core Development: Design, build, and maintain enterprise-level data models in SAP Datasphere using Space Management, Data Builder, and Business Builder.
• Data Artifacts: Develop and scale semantic views, analytical models, Intelligent Lookups, Data Flows, and Task Chains.
• Hybrid Integration: Implement modern ingestion patterns to connect SAP cloud ecosystems (S/4HANA Cloud, BW/4HANA) with hyperscaler environments (Azure ADLS Gen2, AWS S3) via Kafka, SAP FedML, or OData streaming.
• Reporting Architecture: Collaborate on front-end data strategies using SAP Analytics Cloud (SAC) to generate complex data-driven reports, SAC Stories, and predictive dashboard layouts.
• Legacy Bridging: Build data provisioning components utilizing ABAP CDS Views, ODP BW Extractors, Open ODS Views, and BTP routines.

Desired Candidate Profile (Per TCS Norms)Must-Have Technical Skills:

• Hands-on Datasphere: Minimum 3+ years of dedicated, production-level experience specifically inside SAP Datasphere.
• Ecosystem Fluency: Exceptional grasp of traditional SAP functional schemas (Finance, Logistics, Procurement, Sales).
• Niche Cross-Fluency: Strong familiarity with modern data lakehouse patterns (e.g., Databricks, PySpark, Delta Lake).
• Data Governance: Practical knowledge of security implementation, data lineage tracking, and cross-platform access control (e.g., Unity Catalog).

Good-to-Have Skills:

• SAP Certified Application Associate SAP Analytics Cloud (Planning/BI).
• DevOps orchestration using Git, Azure DevOps, or GitHub Actions for Datasphere transports.

Education & Eligibility Norms:

• Qualifications: Full-time B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc.
• Academic Criteria: Consistent academic record (minimum 50% or 60% depending on the specific background clearance).