SAP DataSphere Consultant

Must Have Technical/Functional Skills


We are seeking an experienced SAP Datasphere Consultant to design, develop, and optimize modern data architecture and analytics solutions using SAP Datasphere. The ideal candidate will have strong hands-on expertise in data modeling, data integration, semantic modeling, governance, and cloud analytics. This role involves working closely with business stakeholders, data engineers, and analytics teams to deliver end to end data products and governed data layers


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.

Required Skills & Qualifications
• 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.