<p>We’re looking for an experienced SAP Datasphere Architect to design and lead our next-generation enterprise data landscape. You’ll define how data flows from SAP and non-SAP sources into a governed, business-ready data fabric that powers analytics, planning, and AI initiatives across the organization. This is a hands-on architecture role: you’ll set the technical direction, guide delivery teams, and work directly with business stakeholders.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Architect end-to-end solutions in SAP Datasphere, including spaces, data layers, semantic models, and data products</li><li>Design data integration patterns using replication flows, data flows, transformation flows, and federation or remote tables</li><li>Connect SAP S/4HANA, ECC, BW/4HANA, and third-party sources (cloud platforms, databases, APIs)</li><li>Build analytic and semantic models that serve SAP Analytics Cloud, Power BI, and other BI tools</li><li>Define data governance, security, and access control standards, including row-level security, roles, and catalog and lineage practices</li><li>Lead migration and modernization efforts from SQL DB to Datasphere</li><li>Optimize performance, cost, and capacity across the Datasphere tenant</li><li>Mentor data engineers and modelers, and run architecture and code reviews</li><li>Translate business requirements into scalable technical designs and clear documentation</li><li>Evaluate new SAP Business Data Cloud capabilities and recommend where they fit our roadmap</li></ul><p><br></p><p><strong>Qualifications</strong></p><ul><li>10+ years in data architecture, data warehousing, or enterprise analytics</li><li>5+ years of hands-on SAP Datasphere (or SAP Data Warehouse Cloud) delivery experience, ideally including at least one full implementation</li><li>Strong knowledge of SAP HANA modeling, SQL, and SQLScript</li><li>Experience with SAP data extraction (ODP, CDS views, SLT, or similar)</li><li>Solid understanding of dimensional modeling, data vault, and medallion-style architectures</li><li>Familiarity with data governance, metadata management, and data quality practices</li><li>Excellent communication skills and the ability to influence both technical teams and business leaders</li></ul><p><br></p><p><strong>Nice to Have</strong></p><ul><li>Experience with SAP Analytics Cloud, SAP Business Data Cloud, or SAP Databricks integration</li><li>Experience with migration and modernization efforts from SQL DB to Datasphere </li><li>Python or other scripting experience; familiarity with Datasphere CLI and CI/CD practices</li><li>Experience with Snowflake, Azure Synapse, Google BigQuery, or Databricks alongside SAP</li><li>SAP certification (e.g., SAP Certified Associate – Data Engineer or SAP Datasphere)</li><li>Experience in Commercial data of the Pharma industry or any other Life Sciences</li></ul><p><br></p>