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.

Technical Proficiency

• 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.

• 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