Almosafer

• Lead end-to-end data engineering initiatives across SAP BODS, BDC, Datasphere, and SAC, ensuring reliable, secure, and scalable data flows
• Own the architecture, development, and optimization of ETL/ELT pipelines using SAP BODS and SAP Datasphere
• Lead data migration, data quality, and data governance activities across SAP and nonSAP Systems
• Establish and govern reusable data products, semantic models, and transformation frameworks that standardize how business domains consume and share data across the enterprise
• Manage the design and delivery of SAC dashboards, planning models, and analytics solutions aligned with business KPIs
• Oversee platform configuration, environment setup, and operational readiness for SAP BODS, Datasphere, BDC, and SAC, ensuring each system is fully functional, secure, and aligned with enterprise architecture standards
• Manage connectivity and integration settings across SAP landscapes — including RFCs, OData services, JDBC/ODBC connections, agent configurations, and secure network tunnels — ensuring seamless data flow between S/4HANA, Success Factors, and external systems
• Collaborate closely with the BASIS team to manage system landscapes, transport paths, patching, upgrades, and performance tuning for all data and analytics platforms
• Ensure proper provisioning, role-based access, and security configurations across BODS repositories, Datasphere spaces, SAC tenants, and BDC execution environments
• Lead troubleshooting and root-cause analysis for platform-level issues, including agent failures, connection drops, job execution errors, and performance bottlenecks across data pipelines and analytics layers
• Ensure all platform integrations follow clean‑core principles, secure connectivity standards, and enterprise data governance policies
• Manage the development of reusable CDS artifacts, including analytical, transactional, and hierarchy views—to standardize data access and ensure consistent KPIs across business domains
• Drive alignment between CDSbased virtual data models and enterprise data products, ensuring cleancore compliance and reducing the need for custom ABAP or heavy ETL logic
• Lead the design and deployment of adaptive, AI-powered intelligent applications built on SAP Business Data Cloud, ensuring solutions continuously learn from enterprise data, understand business context, and autonomously improve decisionmaking
• Drive the integration of next-generation intelligent capabilities—such as automated insights, contextual recommendations, and workflow orchestration—across SAP S/4HANA and Successfactors to transform business outcomes

Manager – SAP Data Services, Integration