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Job Description
Job Summary
We are seeking a Senior Data Modeler to serve as the architect of our Single Version of the Truth. This role is central to our Data Maturity Initiative, where you will define the semantic structures that power our Logistics and Parcel Services analytics. The Data Modeler collaborates closely with Data Engineers, Business Analysts, Solution Architects, and domain SMEs to translate business requirements into highquality, scalable data models. A key focus will be on strengthening semantic models and improving data quality across logistics data such as shipments, orders, warehousing, inventory, transportation, and fulfillment.
Key Responsibilities
- Develop and maintain data models for logistics subject areas (transportation, warehousing, inventory, orders).
- Build semantic models and semantic layer artifacts (e.g, metric definitions, dimensions, conformed entities) to support analytics and business-friendly data consumption.
- Translate business and functional requirements into scalable data structures.
- Ensure data models align with governance standards, glossaries, and reference data using Informatica Axon.
- Define and govern enterprise KPIs/metrics (definitions, grain, calculation logic) aligned to business glossary
- Maintain data dictionaries, metadata, and model documentation.
- Work with Data Engineers to implement logical models into physical structures.
- Support integration, ETL/ELT, and data quality initiatives.
- Participate in requirements analysis, design reviews, and project planning.
Required Skills
- Strong knowledge of conceptual, logical, and physical data modeling.
- Hands-on experience with ERwin, PowerDesigner, or similar tools.
- Strong SQL and data analysis skills.
- Understanding of relational, dimensional, and domain-driven design.
- Familiarity with Informatica Axon for governance and metadata management.
- Knowledge of data quality, metadata, and governance best practices.
Preferred Skills
- Experience with cloud platforms (Azure, GCP, AWS).
- Exposure to ETL/ELT processes and integration tools.
- Experience with BI semantic models (Power BI, Looker, Tableau).
- Logistics or supply chain data domain knowledge.
Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
Employee Type
Permanent
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