Why This Role Stands Out
This Sr. Data Modeler role offers a significant opportunity to impact critical data initiatives within a reputable company, allowing you to leverage and expand your extensive modeling expertise. You'll thrive here if you are a seasoned professional eager to contribute to a long-term project and refine your skills in defining complex data structures. Apply today to join a dynamic team and shape the future of data at HAN IT Staffing Inc.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Jersey City, NJ, United States
Posted
Yesterday
Databricks
Job Description
Job Title: Sr. Data Modeler (3)-15+ years experience needed.
Location: Jersey City, NJ or Columbus, OH – 5 Days onsite role
Long Term Project
Data Modeling - (3 resources based in Columbus or Jersey City)
- Define entities, relationships, and keys (primary/foreign keys) and document cardinalities
- Specify table grain (row-level meaning) for each fact/event/feature table
- Create dimension tables with consistent codes, descriptions, and hierarchy attributes where applicable
- Create fact/event tables with measures, timestamps, and join keys to relevant dimensions/entities
- Represent time using standard date/time fields and, when needed, effective start/end dates for history
- Standardize naming conventions, data types, units, and allowed values (domains) across models
- Add metadata and documentation (field definitions, source system, refresh cadence, owner)
- Implement basic validation checks (nullability, uniqueness, referential integrity, value ranges)
- Design outputs for common access patterns (joins, filters, aggregations) used by OLAP and AI pipelines
- Maintain versioning/change history for models and update downstream dependencies when schemas change
- Optimize the models for performance of AI/BI use cases
- Good understanding of Databricks concepts
- Good understanding of tools like Erwin
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