For our client, a famous company in the semiconductor sector, we are looking for a Data Modeler (m/f/d) in Böblingen.

Role Purpose

The Senior Data Modeler is accountable for defining and governing enterprise-grade data models that translate complex business concepts into scalable, consistent, and reusable data structures. The role operates at both a strategic and hands-on level, shaping how data is understood, shared, and implemented across systems, analytics, and integrations.

You will build models that support cloud-native data platforms and distributed data patterns (e.g., lakehouse concepts, Microsoft Fabric/Synapse) and ensure interoperability across the modern data ecosystem.

This role goes beyond model creation: it sets modelling direction, mentors data analysts, and ensures data structures enable business outcomes such as transformation, analytics, and process harmonization. The position aligns with industry-standard data management and modelling principles (conceptual, logical, and physical modelling as a business-IT bridge).

Your Tasks:

Enterprise Data Modelling Leadership

  • Own and evolve conceptual, logical, and physical data models for complex domains and cross-functional initiatives
  • Design models that support current and future-state architectures (As-Is / To-Be) across applications, platforms, and analytics
  • Ensure models are reusable, scalable, and aligned with enterprise data architecture principles
  • Define and maintain semantic layers (business-friendly measures, definitions, hierarchies, conformed dimensions) to ensure consistent KPI interpretation and trusted reporting
  • Design for large-scale data, including partitioning strategies, performance considerations, and schema evolution/versioning to support dynamic environments and changing source systems

Business Translation & Stakeholder Engagement

  • Act as a senior interface between business, process owners, architects, and engineering teams
  • Translate ambiguous or complex business requirements into clear, structured data designs
  • Lead data modelling workshops, reviews, and design discussions with senior stakeholders
  • Establish a shared vocabulary for business concepts, entities, and relationships across teams

Standards, Governance & Quality Enablement

  • Enforce data modelling standards, naming conventions, and design guidelines
  • Ensure alignment with data governance, metadata, lineage, and data quality initiatives
  • Drive consistency of data definitions across domains and systems to reduce ambiguity and rework
  • Proactively identify structural data risks and recommend design improvements

Interoperability Modelling (APIs & Event Streams)

  • Model data structures that enable modern system interoperability, including:
    • API-oriented data contracts (request/response payload structures, canonical entities)
    • Event-driven integration (event schemas, keys/identifiers, versioning rules)
  • Partner with application and integration teams to ensure models are consumable, stable, and well-governed across system boundaries

Architecture & Delivery Support

  • Collaborate with solution architects, data engineers, BI teams, and application teams to ensure models are implementable and performant
  • Support downstream use cases such as data warehousing, reporting, analytics, and integration
  • Ensure traceability from business requirements to data models to physical implementation

Mentoring & Capability Building

  • Coach and mentor junior data modelers and analysts
  • Review and challenge data models produced by project teams
  • Promote data modelling best practices and data literacy across the organization

Your Skills:

  • 7-10 years of hands-on experience in data modelling across multiple domains and complex enterprise environments
  • Experience in the manufacturing or semiconductor industry is a plus
  • Strong, hands-on experience with conceptual, logical, and physical data modelling
  • Deep understanding of entities, attributes, relationships, keys, constraints, and normalization
  • Proven ability to model complex, cross-domain data landscapes
  • Strong capability in dimensional modelling and enabling semantic layers for reporting and BI consumption

Technical & Architectural Knowledge

  • Solid understanding of relational data models and cloud-native architectures (lakehouse, distributed data, Microsoft Fabric/Synapse)
  • Exposure to dimensional and NoSQL patterns is a plus
  • Familiarity with data warehousing, analytics, and system integration concepts
  • Comfortable working with modelling tools and structured documentation repositories Collaboration & Influence
  • Strong facilitation and communication skills, with the ability to explain complex data topics in a simple way
  • Experience working with senior stakeholders across business and IT
  • Structured, detail-oriented, and quality-driven mindset

Education & Credentials

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field
  • Data management or architecture certifications (e.g., DAMA-aligned, TOGAF) are an advantage

Our Offer to You

  • An exciting environment and cutting-edge projects at global brands and hidden champions
  • Personal and individual support from our Account Managers and HR team
  • Be part of the Nash Direct team and connect with colleagues throughout Germany

Interested?
We look forward to receiving your application and guarantee quick feedback! For more information about the role, please get in touch with Aspasia Joannidou.

For over 30 years, Nash Direct has been helping exceptional people secure exciting roles at world-leading technology companies in Germany. Our mission is to provide our employees with the best possible experience working with us.

Contact

Aspasia Joannidou
Executive Recruiter
Tel.: +49 711 20705 231
Mobile: +49 151 11323422
Email: aspasia.joannidou@nashdirect.de
Web: www.nashdirect.de

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