Senior Fabric OneLake Data Modeler

@ Neshent Technologies
Neshent Technologiesneshenttechnologies.com

Senior Fabric OneLake Data Modeler

Lawndale, California
Posted 1 day ago

About the job

Our company specializes in enterprise data solutions. The role focuses on designing data models, supporting analytics, and ensuring data governance using Modern Data Architecture, Microsoft Fabric, and OneLake.

Requirements

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

Qualifications

  • Proficiency in data modeling tools
  • Strong communication skills
  • Knowledge of data governance
  • Ability to collaborate with teams

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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