Data Modeler

Humac, Inc.
Phoenix, AZ, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Cloud Computing Software Documentation Databases Data Structures Data Warehousing Dimensional Modeling MySQL Power BI Azure Data Lake Azure Data Factory Sql Optimization
+3 more
Microsoft Fabric Star Schema Data Management

Job description

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., 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.

Requirements

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.

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