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**As a** **Data Modeler at TVH****, you will play a central role in shaping how our global organization structures, understands, and leverages its data. Operating across** **all core business domains** **(e.g., Customer, Supplier, Item, Product, Equipment, HR, Finance, Commercial, Operations, …), you will design, develop, and maintain high-performing Logical Data Models (LDM) and Physical Data Models (PDM) that power enterprise reporting, analytics, and operational applications.**
You will translate diverse cross-domain business requirements into clear, standardized, and scalable data structures.
Working closely with Domain Architects, Data Engineers, and Data Stewards, you will ensure our logical abstractions align perfectly with business reality while our physical implementations maximize database performance and data accessibility.
As a Data Modeler at TVH**, you will play a central role in shaping how our global organization structures, understands, and leverages its data. Operating across** all core business domains (e.g., Customer, Supplier, Item, Product, Equipment, HR, Finance, Commercial, Operations, …), you will design, develop, and maintain high-performing Logical Data Models (LDM) and Physical Data Models (PDM) that power enterprise reporting, analytics, and operational applications.
You will translate diverse cross-domain business requirements into clear, standardized, and scalable data structures.
Working closely with Domain Architects, Data Engineers, and Data Stewards, you will ensure our logical abstractions align perfectly with business reality while our physical implementations maximize database performance and data accessibility.
Design, construct, and maintain normalized Conceptual and Logical Data Models (LDM)
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Translate LDMs into optimized Physical Data Models (PDM) tailored for target database platforms, balancing storage efficiency, index strategies, and query performance.
Reverse-engineer legacy source systems and translate complex domain requirements into normalized, reusable data structures.
Produce and manage comprehensive data documentation, including ERDs (Entity-Relationship Diagrams), data dictionaries, and data mapping lineage.
Drive consistent data modeling standards, naming conventions, and design patterns across all domain modeling initiatives.
Partner with Data Governance teams to incorporate standardized business glossaries and enterprise metadata standards directly into model structures.
Conduct data model reviews with technical and business teams to ensure cross-domain consistency and avoid data duplication.
Work hand-in-hand with Domain Architects to ensure domain models fit seamlessly into TVH’s target data architecture strategy.
Collaborate with Data Engineers to guide the physical realization of models and support optimized ETL/ELT pipeline design.
Partner with Data Analysts, Data Stewards and Business Partners to validate logical assumptions, clarify business logic, and refine domain models as needs evolve.
Profile source data using SQL to uncover structural edge cases and validate cardinality before finalizing logical designs.
Refine physical schemas for cloud data warehouses, adjusting partitioning, clustering, and denormalization strategies to meet performance SLAs.
Full-time
Onsite
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