SAP Data Architect

Expectations / Deliverables for the Role

• Builds the SAP data foundation by defining how SAP systems store, share, and manage trusted enterprise data.
• Produces reference data architectures by leveraging expert input from application, analytics, integration, platform, and security teams. These architectures form the basis for new solutions and enterprise data initiatives.
• Enables analytics and AI use cases by ensuring data is consistent, governed, and discoverable.
• Leverages SAP Business Data Cloud, Datasphere, MDG and related capabilities to unify data and eliminate duplicate data copies.
• Defines and maintains common data model catalogs to create a shared understanding of core business data.
• Evolves data governance, ownership, metadata, and lineage standards across the enterprise.
• Protects core transactional systems by preventing excessive replication and extraction loads.

• Strong knowledge of SAP master and transactional data domains.
• Hands‑on experience with SAP MDG, Business Data Cloud, BW, Datasphere, or similar platforms.
• Expertise in data modeling, metadata management, data quality, and data governance practices.
• Understanding of data architectures that support analytics, AI, and regulatory requirements.
• Experience integrating SAP data with non‑SAP analytics and reporting platforms.

• Ability to align data, and engineering teams around a shared data vision, drive consensus on data standards and decisions
• Strong facilitation skills to resolve data ownership and definition conflicts.
• Clear communicator who can explain architecture choices, trade‑offs, and cost impacts to stakeholders.
• Pragmatic mindset focused on value, reuse, and simplification.
• Comfortable challenging designs constructively in ARB reviews