SAP Datasphere

Key Responsibilities

1. Architectural Design & Strategy

   • Define end-to-end data architecture strategy using SAP Datasphere in alignment with the enterprise data roadmap business requirements and technology standards.

   • Develop highlevel solutions and architectural blueprints for data ingestion storage semantic modelling virtualization federation data cataloguing and analytics.

   • Ensure the architecture supports scalable integration with both SAP and nonSAP systems hybrid and cloud landscapes.

2. Data Modelling & Semantic Layer

   • Design logical and physical data models (including spaces views calculation views CDS views etc.) that are efficient maintainable and reusable.

   • Build and manage semantic layers to provide businessfriendly data definitions and consistent meanings across the organisation.

3. Integration & Data Flows

   • Lead extraction transformation load (ETL)/extractloadtransform (ELT) pipelines replication and virtualization of data.

   • Integrate SAP Datasphere with SAP S/4HANA BW/BW4HANA HANA embedded analytics thirdparty / nonSAP systems via APIs OData connectors etc.

4. Governance Security & Compliance

   • Define and enforce data governance policies: metadata management data catalogues lineage versioning.

   • Ensure proper security access control authentication authorization aligned with internal policy and external regulatory requirements (privacy compliance).

   • Maintain data integrity quality reliability and availability.

5. Performance Scalability & Operational Excellence

   • Ensure that the implemented Datasphere solutions are performant: query optimization partitioning caching and efficient resource usage.

   • Monitor and tune the systems; diagnose performance bottlenecks.

   • Plan for disaster recovery backup strategies capacity planning high availability.

6. Implementation & Migration

   • Lead migrations from legacy systems/data warehouses to Datasphere (e.g. BW/BW4HANA older DW systems).

   • Plan and execute pilot proof of concept (POC) and production rollout.

   • Handle postgolive support and continuous improvement.

7. Stakeholder Management & Advisory

   • Engage with business leaders analysts and product owners to understand requirements; translate business needs into technical solutions.

   • Work closely with data engineering analytics reporting (SAC etc.) BI teams cloud teams.

   • Participate in presales / advisory / solution design with clients or internal customers where applicable.

8. Leadership & Mentoring

   • Lead mentor and guide more junior architects developers modelers and engineers.

   • Establish and propagate best practices design patterns and standards.

   • Effectively document architectural decisions data flows interface contracts.

9. Innovation & Continuous Learning

   • Stay uptodate with SAP Datasphere roadmap SAP Business Technology Platform (BTP) trends in cloud data platforms data fabrics knowledge graphs machine learning integrations.

   • Recommend adoption of new technologies or approaches when beneficial

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time