SME - Data Architect
Search Results · Bethesda, MD
$128,000–$270,000from the description
Jul 16, 2026
Bethesda, MD
Jul 20, 2026
What this job asks for AI summary
A subject-matter expert role focused on designing and maintaining enterprise data architectures for government and commercial clients. Day-to-day work involves ensuring data quality, security, and policy compliance, as well as implementing data mesh architecture and applying technologies such as data analytics, machine learning, and cloud-based storage. An active TS/SCI clearance is required.
Senior level · 7+ years · Baltimore-Columbia-Towson, MD · TS/SCI clearance · Full-time
Posted 2 times — it's one opening, so apply once.
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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $135,863 (middle half $104,590–$179,359). This posting is about at that midpoint.
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 title is 'SME – Data Architect', but no explicit seniority level word (Senior, Staff, etc.) appears in the title itself, so advertised seniority is Unspecified. The 7–12 years of experience requirement and SME framing support a Senior classification.
The JD requires a TS/SCI clearance as a hard gate ('Candidate must have a TS/SCI').
The degree requirement is 'Bachelor's Degree or equivalent experience', so no formal degree is hard-gated.
The salary range ($128,000–$270,000) is stated as specific to Maryland, suggesting an on-site or Maryland-based role; no remote option is mentioned.
The alt SOC (15-2051 Data Scientists) is noted because the role explicitly calls out machine learning and data analytics alongside architecture work, creating mild ambiguity; however, the primary framing is architectural (enterprise data architecture, data mesh), so 15-1243 is the stronger fit.
Skills are sparse in this posting — the Key Tasks section is a single dense bullet covering several capabilities. All named technologies and practices within it are treated as required given they appear under the sole requirements-style task description.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): enterprise data architecture, cloud-based data storage.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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