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Data Architect Microsoft Fabric & Semantic Model

SpiceorbFrisco, TX🇺🇸United StatesPosted Oct 1, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Frisco, TX, United States
Posted
23 hours ago
SQLTableauAzureGrafanaLLMPower BIPythonQlik

Job Description

Role: Data Architect with Microsoft Fabric & Semantic Model
Location: Frisco, TX - Onsite
Exp:14

Mandatory Areas: Data Solution Architecture, Semantic Layer & Microsoft Fabric
– MS Fabric, Semantic Layer, PowerBI, Semantic Model Architecture
– 7Yrs of Exp – MS Fabric, Semantic Layer, Spark, SQL
– 7Yrs of Exp – SQL
– 5Yrs of Exp in IT Python, Azure, AI/ML
Experience Required Preferred
  • Bachelor's Degree 7+ years related experience, or equivalent combination. Acceptable fields: Computer Science, IT, Computer Engineering, Data Engineering, or related.
  • Experience Required Preferred 7-10 yrs Progressive experience in enterprise data architecture, analytics engineering, or BI platform leadership.
  • 7-10 yrs Hands-on experience with Microsoft Fabric including Lakehouses, Direct Lake semantic models, Dataflows Gen2, Data Pipelines, and the Fabric OneLake architecture.
  • 5-7 yrs Power BI semantic model development: DAX authoring, composite models, aggregation tables, incremental refresh, and deployment pipelines.
  • 5-7 yrs Governance experience: dataset certification, workspace governance, RLS/OLS implementation, sensitivity labels, and data catalog/governance tooling integration (e.g., Microsoft Purview, Alation, Collibra, or equivalent).
  • 3-5 yrs SOX compliance for financial data systems including audit trail design, change management controls, access reviews, and lineage documentation.
  • 3-5 yrs Experience connecting third-party BI and analytics tools (e.g., Tableau, Qlik Sense, MicroStrategy, Grafana) to XMLA-compatible semantic models including live connection architecture, security passthrough, and performance tuning.
  • 2-4 yrs Experience integrating AI/LLM tools (e.g., Anthropic Claude, Azure OpenAI) with structured data sources or semantic layer APIs for natural language querying or embedded analytics.

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