Databrick Data Modeler (Hybrid)

DMS Vision•Frisco, AL
•Hybrid

About The Position

A client is seeking a techno-functional Databricks Data Modeler with hands-on experience in data modeling and data cataloging. The role focuses on exploring source data in systems of record, developing data models for the Bronze, Silver, and Gold layers of the Medallion Architecture, and harmonizing data where needed. The modeler will explore business use cases and develop Gold models that support Business Intelligence, work with Unity Catalog or data catalog capabilities, and explain designs to Data Engineers. The role involves developing data models that can be handed over to Data Engineering. A key challenge is understanding systems-of-record data models that have limited documentation. Approximately 10 years of data-modeling experience is noted in the description, while the listed required skills specify 5+ years in data modeling and cataloging and 2+ years creating physical models in Databricks/Unity Catalog. Utility Industry modeling experience would be helpful.

Requirements

  • 5+ years of experience in data modeling and data cataloging.
  • 2+ years of experience creating physical models in Databricks/Unity Catalog.
  • Experience developing data models for Bronze, Silver, and Gold layers of the Medallion Architecture.
  • Experience exploring use cases and developing Gold models to support Business Intelligence.
  • Exposure to Unity Catalog.
  • Ability to explain model designs to engineers on the team.
  • Strong background in SQL and SQL programming.

Nice To Haves

  • Utility or Energy Industry data modeling experience.

Responsibilities

  • Explore source data in systems of record.
  • Develop data models for Bronze, Silver, and Gold layers of the Medallion Architecture, including data harmonization where needed.
  • Explore business use cases and develop Gold models to support Business Intelligence.
  • Work with Unity Catalog and data catalog capabilities.
  • Explain model designs to Data Engineers and other engineers on the team.
  • Develop data models that can be handed over to Data Engineering.
  • Understand systems-of-record data models, including those with limited documentation.
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