Senior Fabric OneLake Data Modeler

@ Neshent Technologies
Neshent Technologiesneshenttechnologies.com

Senior Fabric OneLake Data Modeler

Santa Fe Springs, California
Posted 1 day ago

About the job

The company specializes in enterprise data solutions and analytics. The role focuses on designing and maintaining data models, supporting BI, AI, and reporting efforts across the organization using modern data tools and methodologies.

Requirements

  • 8+ years enterprise data modeling
  • 5+ years warehousing design
  • Experience with Microsoft Fabric
  • Knowledge of Medallion Architecture
  • SQL and dimensional modeling

Qualifications

  • Strong SQL skills
  • Experience with Power BI
  • Knowledge of data governance
  • Familiarity with modeling tools

Full job description

We are seeking a Senior Fabric OneLake Data Modeler with strong experience in enterprise data modeling, analytical data warehousing, Microsoft Fabric, OneLake, and modern data architecture.

Required Skills
  • 8+ years of enterprise data modeling experience.
  • 5+ years of analytical data warehouse design experience.
  • Strong hands-on experience with Microsoft Fabric and OneLake.
  • Experience with Medallion Architecture and Corporate Information Factory methodologies.
  • Strong SQL and dimensional modeling skills.
  • Experience designing enterprise semantic models and supporting Power BI.
  • Knowledge of MDM, PK/FK design, referential integrity, and data governance.
  • Experience with Lucidchart, ERwin, ER/Studio, or equivalent modeling tools.
Roles & Responsibilities
  • Design and maintain conceptual, logical, and physical enterprise data models.
  • Define facts, dimensions, hierarchies, metrics, relationships, and business entities.
  • Develop reusable canonical data models across enterprise domains.
  • Establish data modeling standards, naming conventions, grain definitions, and metadata practices.
  • Design and govern data models aligned with Fabric, OneLake, and Medallion Architecture.
  • Review and approve data designs and ensure adherence to enterprise standards.
  • Facilitate data modeling workshops and collaborate with Architects, Data Engineers, BI teams, and business stakeholders.
  • Maintain model documentation, governance, and enterprise data standards.
  • Coach Data Engineers and junior team members on data modeling best practices.
  • Support Power BI, semantic models, self-service analytics, AI solutions, and governed reporting.
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