SAP Data Architect

Experience of managing C-level (CIO/CEO/CXO) level stakeholder. Played architect level role is defining data management strategy. 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. Expertise in various tools / apps used to manage data and their pros and cons.

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. Experience integrating SAP data with non-SAP analytics and reporting platforms. Soft Skills. 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 review. SAP Dada, MDG, Cloud, Datasphere.