Job Description:

The SAP BDC Datasphere Data Lake Consultant will be responsible for designing, building, and operating modern enterprise data platforms using SAP Business Data Cloud (BDC), SAP Datasphere, SAP BTP, and hyperscaler data lakes.

The role focuses on SAP and non-SAP data integration, semantic modeling, governance, analytics enablement, and cloud-first data architecture for S4HANA and RISE programs.

Key Responsibilities:

- Design and implement SAP Business Data Cloud (BDC) and SAP Datasphere solutions as the enterprise data foundation.

- Build Spaces, semantic models, SQL views, analytical views, cubes, and consumption models.

- Develop and manage Replication Flows, Data Flows, Task Chains, and scheduling.

- Implement row-level security, DAC, role-based access control, and data governance policies.

- Integrate data from SAP S4HANA, ECC, BW, SuccessFactors, Ariba, and non-SAP systems.

- Design outbound integrations from SAP BDC/Datasphere to Azure Data Lake, AWS S3, Google BigQuery, Databricks, and Snowflake.

- Define end-to-end data architecture for SAP analytics landscapes involving BDC, Datasphere, SAC, and external data platforms.

- Enable analytics consumption using SAP Analytics Cloud (SAC) live and acquired models.

- Implement transport management and lifecycle management across DEV, TEST, and PROD.

Required Skills:

- Strong hands-on experience in SAP Datasphere and SAP Business Data Cloud (BDC).

- Solid understanding of SAP S4HANA data models, CDS Views, and ODP extractors.

- Experience with SAP BTP, Cloud Connector, and integration patterns.

- Strong SQL, data modeling, and cloud data engineering fundamentals.

- Exposure to SAP Analytics Cloud (SAC) for analytics and planning scenarios.

Soft Skills:

- Strong analytical and problem-solving skills.

- Clear communication with both business and technical stakeholders.

- Ability to work independently and within cross-functional global teams.

- Structured documentation and design orientation.