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.

· 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 reviews