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    dsm-firmenich logo

    Expert D&T - Senior Data Modeler - Procurement

    dsm-firmenich · Hyderabad · onsite · Posted 61d ago

    Undisclosed5–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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 precise, 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.

    Sourced from naukri

    Skills

    Medallion ArchitectureBIOTECHmodelerdsmData VaultBusiness RequirementsArticulateeltDimensional ModelingmetadataAnalyticsdata modelsData StructuresData EngineeringCommunication SkillsArchitectureETLData Modeling

    About dsm-firmenich

    dsm-firmenich logo

    dsm-firmenich

    Biotechnology

    501

    employees

    1895

    131 years old

    Meyrin, Geneva

    Switzerland

    ₹14.3L PA avg

    Avg at dsm-firmenich

    About

    dsm-firmenich specializes in nutrition, health, and beauty, leveraging over a century of R&D to innovate sustainable solutions impacting consumers and the environment.

    Industries

    Biotechnology

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