Azure Data Architect at Jobgether
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Jul 14, 2026
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Jul 21, 2026
What this job asks for AI summary
A consulting-oriented architecture role focused on designing and building enterprise cloud data platforms on Azure. Day-to-day work spans migrating legacy data environments to Azure-native solutions, engineering ETL/ELT pipelines and real-time processing systems, establishing data governance frameworks, and advising clients across multiple industries. Suits an experienced data architect or senior data engineer comfortable leading technical delivery and engaging directly with business and executive stakeholders.
Senior level · 5+ years · Remote
“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 75 people nationally plausibly meet what this posting asks for (database administrators). range 20–110
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 (8)
The role is posted via Jobgether on behalf of an unnamed partner company; the actual employer is not disclosed.
SOC classification is Medium confidence: the role is primarily a cloud data architect designing pipelines, data models, and governance frameworks (15-1243 Database Architects), but the heavy hands-on coding emphasis (PySpark, Python, Databricks workflows) gives 15-1252 Software Developers a credible claim as runner-up.
Azure Stream Analytics and Power BI appear in the accountabilities/stack narrative rather than the explicit Requirements section, so they are marked preferred.
Terraform and Bicep are explicitly listed under 'advantages' (preferred), as are Databricks certifications and MLOps.
Azure certifications DP-203 and AZ-305 are listed as preferred, not hard gates; no skill entry was created as these are credentials rather than named technologies.
No compensation figures are provided beyond 'competitive compensation package based on experience and qualifications.'
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Azure Data Lake Storage Gen2.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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