Senior Data Modeler

Hybrid in Phoenix, AZ, US • Posted 6 hours ago • Updated 6 hours ago
Contract Independent
Contract W2
12 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Modeling
  • Business Intelligence
  • Star Schema
  • Data Warehouse
  • DAX
  • MySQL
  • Semantics
  • Data Structure
  • Data Lake
  • Microsoft Power BI
  • KPI
  • SQL
  • Microsoft Azure

Summary

Role: Senior Data Modeler Location: Phoenix, AZ

NEED ONLY LOCAL CANDIDATES

Role Summary
Seeking an experienced Microsoft Fabric Data Modeler to transform an on-premises MySQL Vessel ERP data model into a scalable Microsoft Fabric analytics platform. The role will own dimensional modeling, Gold-layer design, semantic model development, and collaboration with Power BI developers to enable enterprise self-service reporting.

Key Responsibilities
Analyze complex MySQL ERP schemas and business processes.
Design enterprise-grade Star Schema data (models Facts, Dimensions, Bridge Tables, SCDs).
Develop and optimize Bronze, Silver, and Gold layer data models in Microsoft Fabric.
Build and maintain Fabric Semantic Models for reusable enterprise reporting.
Define KPIs, measures, hierarchies, relationships, and Row-Level Security (RLS).
Partner with Data Engineers to design analytics-ready data structures.
Collaborate closely with Power BI developers to deliver performant dashboards and self-service reporting solutions.
Work with business stakeholders to translate reporting requirements into scalable data models.
Ensure data quality, reconciliation, governance, and documentation standards.
Optimize Direct Lake, semantic model performance, and reporting scalability.

Required Skills
7-10+ years of experience in Data Warehousing, Data Modeling, and BI solutions.
Strong expertise in Star Schema, Dimensional Modeling, and Data Warehouse design.
Hands-on experience with Microsoft Fabric, OneLake, Lakehouse, Warehouse, and Semantic Models.
Advanced SQL skills and experience working with MySQL or other enterprise ERP databases.

Strong knowledge of Power BI Semantic Modeling, DAX, and self-service analytics.
Experience with Azure Data Services including Azure Data Factory, Azure Data Lake Storage, and cloud-based analytics architectures.
Excellent communication skills with the ability to work across business and technical teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10202300
  • Position Id: 9043212
  • Posted 6 hours ago
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VK

Vamshi Krishna

Recruiter @ HUMAC INC.
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