Location – Austin, TX, USA, Hybrid
Max Rate : $75/- hr C2C
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.
- 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
Thanks & regards,
B Srivastava