GDB/Z - SAP Datasphere Platform Engineer (m/f/d)
BASF - Country / Location India
Posted Jun 12, 2026
Benefits
- Parental leave
- 8 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 8 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
GDB/Z - SAP Datasphere Platform Engineer (m/f/d) Country / Location India SAP Datasphere Platform Engineer OrgCode: GDB/Z Product Team: Data Fundation Responsibilities: Role Purpose: Responsible for designing, implementing, and enabling the SAP Business Data Cloud (SAP Datasphere) platform as the enterprise foundation for modern, business driven data architecture. The role bridges architecture, engineering, and enablement - ensuring both reliable technical operations and broad business adoption across domains. Design, implement, and maintain the overall SAP Datasphere platform architecture. Establish data domain-driven and data product-based design principles. Integrate SAP (S/4HANA, BW/4HANA) and non-SAP data sources (Azure, APIs) via ODP, SDI, or native connectors Build and optimize data pipelines, semantic models, and analytical datasets. Ensure robust data governance, access control, and security configuration. Lead platform evolution towards a federated, business data fabric model. Collaborate with enterprise architects, product family architects, data governance, SAP- and cloud infrastructure teams. Develop enablement strategies, best practices, and onboarding frameworks for data domain teams. Conduct training, create documentation, and foster community of practice for self-service use cases. Monitor platform performance, manage incidents, and ensure system reliability. Drive continuous improvement through automation (CI/CD, DevOps for data) and usage analytics. Qualifications: 5+ years of professional experience in data architecture, integra
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