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    Job · 22798944

    dsm-firmenich logo

    Expert D&T - Senior Semantic Data Modeler - Procurement

    dsm-firmenich · Hyderabad · onsite · Posted 2d ago

    Not disclosedFresherfulltimeSourced fromFoundit

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

    About this role

    Job Title: Expert D&T - Senior Data Modeler - Procurement

    Location: Hyderabad, India

    This role involves responsibilities as a Senior Semantic Data Modeler and help create the data foundations that enable scientific innovation, analytics, and AI across our Research & Development organization. In this role, you will design, govern, and evolve enterprise data models that transform diverse scientific, experimental, laboratory, and operational data into trusted, discoverable, reusable, and AI-ready assets. Working closely with scientists, business stakeholders, data engineers, architects, and governance teams, you will translate complex research and business requirements into clear, scalable, and reusable data structures. You will play a key role in establishing shared business definitions, semantic consistency, and data standards across domains such as Research, Product Development, Formulation, Ingredients, Manufacturing, Supply Chain, and Finance. We are looking for someone with a strong foundation in data modeling, a practical understanding of modern data platforms, and a passion for enabling better decisions through high-quality data. Experience with FAIR data principles and data management in scientific domains is a plus. Success in this role comes from combining technical expertise with curiosity, collaboration, and the ability to bridge scientific, business, and technology discussions. You are building on a green field.

    Your Key Responsibilities

    • Design and maintain semantic data models across scientific, research, and enterprise business domains. You will work across data domains.
    • Partner with scientists and business stakeholders to understand data requirements and translate them into scalable and reusable data structures.
    • Define the semantic layer, source-to-target mappings and support data integration, migration, and transformation initiatives across research and enterprise platforms.
    • Collaborate with data engineers, architects, and platform teams to implement and operationalize data models in modern cloud and lakehouse environments.
    • Apply and help in defining data modeling standards and best practices, including metadata management, semantic consistency, data lineage, and reusable data design.
    • Promote data quality, consistency, and governance by establishing common definitions, business rules, and traceability across data products.
    • Drive continuous improvement and innovation by simplifying data structures, advancing modeling practices, and enabling analytics, reporting, and AI use cases.

    We Bring

    • Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen.
    • A science led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you'll work on what's next.
    • Growth that keeps up with you, you join an industry leader that will develop your expertise and technical depth.
    • A culture that lifts you up, with collaborative teams, shared wins, and people who cheer each other on.
    • A community where your voice matters, it is essential to serve our customers well.

    You bring

    • Bachelor's, Master's, or PhD degree in Data, Computer Science, Informatics, Engineering, Life Sciences, or a related discipline, with relevant experience in data modeling or information management.
    • Experience in data modeling, information architecture, metadata management, FAIR data and/or related data management disciplines.
    • Hands-on experience in semantic and graph data modeling, including approaches such as Entity Relationship, Dimensional, Data Vault, and Semantic Modeling -triplet stores as well as LPGs.
    • Experience working with scientific, research, laboratory, manufacturing, or other complex data-intensive environments, or a strong interest in applying data management practices within these domains.
    • Working knowledge of data governance, metadata management, data quality, lineage, and FAIR data principles, with an understanding of how these practices enable trusted and reusable data assets. Experience working with life sciences ontologies.
    • Familiarity with modern data platforms and technologies such as Databricks, cloud data platforms, RDF, OWL, JSON, LPGs, Cypher, SPARQL, SQL, Python, lakehouse architectures, data products, AI concepts, prompt engineering and vive coding
    • Strong communication, out of the box thinking and stakeholder management skills, with the ability to align scientists, business teams, engineers, and architects around a common data language and operating model.

    About Dsm-firmenich

    At dsm-firmenich, we don't just meet expectations – we go beyond them.

    Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.

    From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.

    And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas They're essential to our future.

    Because real progress only happens when we go beyond, together.

    Our Application Process

    Interested in this position Please apply on-line by uploading your resume in English via our career portal (www. dsm-firmenich.com/careers).

    Please share your resume with Kanika Maloo,Talent Acquistion Partner ( [HIDDEN TEXT])

    Inclusion, belonging and equal opportunity statement

    At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.

    We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve.

    We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.

    And if you have a disability or need any support through the application process, we're here to help – just let us know what you need, and we'll do everything we can to make it work.

    Agency statement

    We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.

    Sourced from foundit

    Skills

    data qualityentity-relationshipLPGstriplet storesData lineageSPARQLMetadata ManagementCypherCloud Data PlatformsJSONSemantic ModelingRDFlakehouse architecturesGraph Data ModelingowlDatabricksPythonFAIR Data PrinciplesSQLData Governancedimensional data vault

    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

    Employee ratings

    10 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.2

    Work-life

    4.1

    Employees rate it well for

    Work-Life Balance42Compensation & Benefits41

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