Job Title: Expert DT - Senior Data Modeler - Procurement
Location: Hyderabad, India
Join us as a Senior Data Modeler to own the design and governance of enterprise data models built on Data Vault 2.0 principles within a Medallion Architecture. Be the authoritative voice on data structure, semantics, and integrity for Procurement domain.
Your key responsibilities
- Own the data model design across the integrated vault layer and business-facing analytical structures, ensuring historical correctness, structural integrity, and fitness for analytical consumption.
- Define and govern the modeling approach for each business domain, determining the right structure at each layer based on business and technical requirements.
- Deliver exact, implementation-ready model specifications for data engineering teams.
- Translate complex business requirements into formal data models, working directly with subject matter experts and product owners to capture domain semantics accurately.
- Collaborate with BI and analytics teams to validate that consumption-ready structures effectively meet reporting and analytical requirements.
- Define and enforce modeling standards, naming conventions, and metadata documentation practices, maintaining a living catalog of enterprise data models.
You bring
- Proven ability to lead the full Data Vault modeling lifecycle from facilitating conceptual sessions with business stakeholders and domain experts, through logical design,
down to physical model specifications ensuring every layer reflects both business intent and technical feasibility.
- Deep, hands-on expertise in Data Vault 2.0 and strong command of dimensional modeling for analytical consumption.
- Proven ability to own and govern data models across an integrated historized layer and a business-facing consumption layer, maintaining clear structural contracts between them.
- Solid understanding of Medallion Architecture and how modeling responsibilities map to each layer.
- Ability to produce unambiguous, implementation-ready model specifications that data engineering teams can execute without requiring constant clarification.
- Experience working at the intersection of business and technology capturing domain knowledge and formalizing it into rigorous data structures.
- Proficiency with data modeling tools and familiarity with how models translate into ETL/ELT patterns, without owning their development. Excellent documentation and communication skills to articulate modeling decisions to both technical and non-technical audiences.
- Familiarity with SAP data structures and business object models from a modelers perspective: understanding of how SAP organizes key business entities across core modules, the implications of multi-instance SAP landscapes on integration and awareness of the structural differences between ECC and S/4HANA that affect modeling decisions.
- 58 years of experience in enterprise data modeling roles, with a track record of delivering scalable, well-governed data models in complex, cross-functional environments.