SAP DataSphere

About Sutherland: 

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results

Key Responsibilities

• Design and implement data models using SAP DataSphere (formerly SAP Data Warehouse Cloud).

• Integrate data from SAP S/4HANA, ECC, BW, SAP Analytics Cloud (SAC), and non-SAP sources.

• Build and manage spaces, data flows, views, and analytic models in DataSphere.

• Develop and optimize SQL views, transformations, and data pipelines.

• Ensure data quality, consistency, and performance optimization.

• Collaborate with business stakeholders to gather reporting and analytics requirements.

• Support testing, deployment, and production issues.

• Work closely with SAP SAC teams to enable reporting and dashboards.

• Follow best practices for security, authorizations, and governance.

Required Skills & Qualifications

• Strong hands-on experience with SAP DataSphere.

• Good understanding of SAP HANA modeling (Calculation Views, CDS Views).

• Experience with SAP BW / BW/4HANA concepts.

• Strong SQL and data modeling skills.

• Experience integrating non-SAP data sources.

• Knowledge of data warehousing and analytics architecture.

• Familiarity with ETL / ELT concepts.

• Experience with SAP Analytics Cloud (SAC) integration.

Good to Have

• Exposure to SAP S/4HANA data models.

• Knowledge of data governance and security concepts.

• SAP certifications in DataSphere, HANA, or Analytics.

• Experience with cloud platforms (AWS, Azure, GCP).

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