Business Services & Consulting • all cities, OH 36
Location: Remote
Duration: Full Time
Job Description:
• 5–10+ years of experience in data warehousing, data modeling, or SAP analytics.
• 2+ years hands-on experience with SAP Datasphere / SAP Data Warehouse Cloud.
• Strong experience with:
o Data Flows & Replication Flows
o Spaces & governance
o Business Builder
o Analytic Models
o Connectivity to SAP and non-SAP sources
• Solid understanding of SAP data models (S/4HANA, BW/4HANA, ECC).
• Strong SQL, data modeling, and ETL skills.
• Experience with SAP Analytics Cloud (SAC) is a strong advantage.
• Knowledge of cloud platforms (Azure, AWS, GCP) is a plus.
Generic Managerial Skills, If any
• SAP Datasphere certifications (preferred).
• Experience with SAP BW Bridge.
• Experience in large-scale enterprise environments.
• Understanding of Agile delivery and DevOps practices.
• Exposure to data governance, cataloging, or metadata management tools.
Roles & Responsibilities
1. Solution Design & Architecture
• Design scalable data models, semantic layers, and analytic models using SAP Datasphere.
• Architect hybrid scenarios integrating Datasphere with SAP and non-SAP systems.
• Define data products, shared entities, and governed data layers across business domains.
• Create optimal strategies for federation vs replication based on business and performance needs.
2. Data Integration & Modeling
• Build and maintain Data Flows, Replication Flows, and pipeline orchestration.
• Integrate data from S/4HANA, SAP BW/4HANA, SAP ECC, cloud applications, and 3rd party sources.
• Develop harmonized and curated layers, including SCD handling, data quality rules, and transformations.
• Work with Business Builder to create business entities, relationships, measures, and semantic models.
3. Analytics & Consumption Layer
• Design Analytic Models for consumption by SAP Analytics Cloud (SAC), BI tools, and APIs.
• Create KPIs, hierarchies, measures, currency conversions, and shared dimensions.
• Optimize query performance through pruning, materialization, and source pushdown.
4. Governance, Security & Operations
• Implement role-based access, row-level security (RLS), and data privacy controls.
• Manage transports, deployments, and versioning across development, QA, and production.
• Use catalog, metadata management, and lineage views for governance.
• Monitor pipeline performance, troubleshoot failures, and optimize resource usage in Spaces.
5. Stakeholder Collaboration
• Gather business requirements and translate them into scalable data architectures.
• Collaborate with business teams, BI teams, and data analysts.
• Provide documentation, technical guidance, and user training.
Location: Remote
Duration: Full Time
Job Description:
• 5–10+ years of experience in data warehousing, data modeling, or SAP analytics.
• 2+ years hands-on experience with SAP Datasphere / SAP Data Warehouse Cloud.
• Strong experience with:
o Data Flows & Replication Flows
o Spaces & governance
o Business Builder
o Analytic Models
o Connectivity to SAP and non-SAP sources
• Solid understanding of SAP data models (S/4HANA, BW/4HANA, ECC).
• Strong SQL, data modeling, and ETL skills.
• Experience with SAP Analytics Cloud (SAC) is a strong advantage.
• Knowledge of cloud platforms (Azure, AWS, GCP) is a plus.
Generic Managerial Skills, If any
• SAP Datasphere certifications (preferred).
• Experience with SAP BW Bridge.
• Experience in large-scale enterprise environments.
• Understanding of Agile delivery and DevOps practices.
• Exposure to data governance, cataloging, or metadata management tools.
Roles & Responsibilities
1. Solution Design & Architecture
• Design scalable data models, semantic layers, and analytic models using SAP Datasphere.
• Architect hybrid scenarios integrating Datasphere with SAP and non-SAP systems.
• Define data products, shared entities, and governed data layers across business domains.
• Create optimal strategies for federation vs replication based on business and performance needs.
2. Data Integration & Modeling
• Build and maintain Data Flows, Replication Flows, and pipeline orchestration.
• Integrate data from S/4HANA, SAP BW/4HANA, SAP ECC, cloud applications, and 3rd party sources.
• Develop harmonized and curated layers, including SCD handling, data quality rules, and transformations.
• Work with Business Builder to create business entities, relationships, measures, and semantic models.
3. Analytics & Consumption Layer
• Design Analytic Models for consumption by SAP Analytics Cloud (SAC), BI tools, and APIs.
• Create KPIs, hierarchies, measures, currency conversions, and shared dimensions.
• Optimize query performance through pruning, materialization, and source pushdown.
4. Governance, Security & Operations
• Implement role-based access, row-level security (RLS), and data privacy controls.
• Manage transports, deployments, and versioning across development, QA, and production.
• Use catalog, metadata management, and lineage views for governance.
• Monitor pipeline performance, troubleshoot failures, and optimize resource usage in Spaces.
5. Stakeholder Collaboration
• Gather business requirements and translate them into scalable data architectures.
• Collaborate with business teams, BI teams, and data analysts.
• Provide documentation, technical guidance, and user training.
