SAP Datasphere Professional

Architectural Design Strategy

• Define end-to-end data architecture strategy using SAP Datasphere in alignment with the enterprise data roadmap, business requirements, and technology standards.
• Develop high level solutions and architectural blueprints for data ingestion, storage, semantic modelling, virtualization, federation, data cataloguing, and analytics.
• Ensure the architecture supports scalable integration with both SAP and non SAP systems, hybrid and cloud landscapes.

Data Modelling Semantic Layer

• Design logical and physical data models (including spaces, views, calculation views, CDS views, etc.) that are efficient, maintainable, and reusable.
• Build and manage semantic layers to provide business friendly data definitions and consistent meanings across the organisation.

Integration Data Flows

• Lead extraction, transformation, load (ETL)/extract load transform (ELT) pipelines, replication, and virtualization of data.
• Integrate SAP Datasphere with SAP S/4HANA, BW/BW4HANA, HANA, embedded analytics, third party / non SAP systems via APIs, OData, connectors, etc.

Governance, Security Compliance

• Define and enforce data governance policies: metadata management, data catalogues, lineage, versioning.
• Ensure proper security, access control, authentication, authorization aligned with internal policy and external regulatory requirements (privacy, compliance).
• Maintain data integrity, quality, reliability, and availability.

Performance, Scalability Operational Excellence

• Ensure that the implemented Datasphere solutions are performant: query optimization, partitioning, caching, and efficient resource usage.
• Monitor and tune the systems; diagnose performance bottlenecks.
• Plan for disaster recovery, backup strategies, capacity planning, high availability.

Implementation Migration

• Lead migrations from legacy systems/data warehouses to Datasphere (e.g., BW/BW4HANA, older DW systems).
• Plan and execute pilot, proof of concept (POC), and production rollout.
• Handle post go live support and continuous improvement.

Stakeholder Management Advisory

• Engage with business leaders, analysts, and product owners to understand requirements; translate business needs into technical solutions.
• Work closely with data engineering, analytics, reporting (SAC etc.), BI teams, cloud teams.
• Participate in presales / advisory / solution design with clients or internal customers, where applicable.

Leadership Mentoring

• Lead, mentor, and guide more junior architects, developers, modelers and engineers.
• Establish and propagate best practices, design patterns, and standards.
• Effectively document architectural decisions, data flows, interface contracts.

Innovation Continuous Learning

• Stay up to date with SAP Datasphere roadmap, SAP Business Technology Platform (BTP), trends in cloud data platforms, data fabrics, knowledge graphs, machine learning integrations.
• Recommend adoption of new technologies or approaches when beneficial