Senior SAP Datasphere / SAC Technical Consultant

What We Expect of You

About the Role:

We are looking for an experienced Senior SAP Datasphere / SAC Technical Consultant to join a long-term enterprise data transformation project.

The ideal candidate will have strong expertise in SAP Business Data Cloud, SAP Datasphere, and SAP Analytics Cloud (SAC), with hands-on experience designing scalable data architectures, integrating SAP S/4HANA data sources, and developing advanced analytics solutions.

Key Responsibilities:

- Design and implement scalable data architectures using SAP Business Data Cloud and SAP Datasphere.

- Develop and optimize data integration processes, data models, and semantic layers within SAP Datasphere.

- Integrate SAP S/4HANA data sources into SAP Datasphere, ensuring efficient and reliable data flows.

- Design and develop advanced reporting and analytics solutions using SAP Analytics Cloud (SAC).

- Build SAC stories, analytical models, calculations, hierarchies, and authorization structures.

- Develop reusable data models and Data Products to support enterprise-wide analytics.

- Implement and optimize replication flows and integration patterns with enterprise Data Lake environments.

- Define scalable architecture standards and reusable data integration patterns.

- Collaborate with technical teams, data architects, and business stakeholders to deliver reliable and efficient analytics solutions.

Requirements:

- Senior-level experience in SAP data architecture, data integration, and analytics solutions.

- Strong understanding of SAP Business Data Cloud architecture and capabilities.

- Proven hands-on experience with SAP Datasphere, including data integration, data modeling, and semantic layer design.

- Practical experience integrating SAP S/4HANA data sources with SAP Datasphere.

- Advanced expertise in SAP Analytics Cloud (SAC), including stories, analytical models, calculations, hierarchies, and authorizations.

- Experience designing reusable data models and Data Products.

- Solid understanding of replication flows and integration with enterprise Data Lake environments.

- Ability to define scalable technical architectures and reusable data integration patterns.

- Strong analytical, troubleshooting, and problem-solving skills.

- Ability to work independently and collaborate effectively with cross-functional teams.