Senior Azure Data Consultant (Microsoft Fabric & Power BI)
Trility Consulting
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Jul 12, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior-level data consulting role centered on building and maintaining Microsoft Fabric data pipelines, implementing medallion lakehouse architecture, and migrating legacy Tableau reporting into governed Power BI semantic models. Day-to-day work spans the full analytics lifecycle — data ingestion, Spark notebook development, DAX authoring, and executive dashboard delivery — in close collaboration with client engineering teams. Best suited to an experienced Azure data professional with production Microsoft Fabric and Power BI background.
Senior level · 5+ years · Remote · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 100 people nationally plausibly meet what this posting asks for (database administrators). range 20–180
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $106,921 (middle half $81,361–$138,439).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role is offered as W2 or 1099 (corp-to-corp/independent contractor), making it a Contract engagement; the employment type is set accordingly.
SOC classification is Medium confidence: the role spans data pipeline/lakehouse architecture (15-1243) and BI/reporting analytics (15-2031). The primary day-to-day work — building Microsoft Fabric pipelines, medallion lakehouse patterns, and semantic models — leans toward data architecture, so 15-1243 is the primary code, with 15-2031 as the runner-up given the heavy Power BI and DAX reporting emphasis.
The 5+ years requirement is stated against 'Azure Data Services' broadly, not a single named technology, so it is captured as the overall years minimum rather than a per-skill years demanded.
Tableau is listed under required experience as a migration source ('migrating or modernizing analytics platforms such as Tableau, SSRS, or similar BI tools into Power BI'); SSRS is captured as an alternative since both are named as equivalent migration sources.
Azure Data Factory, Databricks, and Azure Synapse are listed together as interchangeable examples of Azure Data Services experience; Azure Data Factory is used as the primary name with the others as alternatives.
Direct Lake semantic models, executive dashboards/KPI reporting, Alation, Azure OpenAI, Power Apps, and Power BI Copilot all appear under the explicit 'Preferred Experience' section.
No compensation figures are stated in the posting.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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