Data Architect Microsoft Fabric & Semantic Model

Frisco, TX, US • Posted 16 hours ago • Updated 11 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Solution Architecture
  • Semantic Layer
  • Microsoft Fabric
  • MS Fabric
  • PowerBI
  • Semantic Model Architecture
  • Spark
  • SQL
  • Python
  • Azure
  • AI/ML

Summary

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.
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: 91109480
  • Position Id: 9101947
  • Posted 16 hours ago
Contact the job poster
SB

Shravan Bachhali

Recruiter @ Spiceorb
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