Databricks Subject Matter Expert at System One
Atlanta, GA
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Jul 11, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
A consulting-oriented technical authority role focused on the Databricks Lakehouse Platform, sitting within a professional services firm. Day-to-day work spans designing enterprise-scale Lakehouse architectures, overseeing large ETL/ELT pipeline builds, advising clients on ML workflows and MLOps, and supporting pre-sales efforts. The role suits a seasoned data engineering or platform architect with deep Databricks production experience who is comfortable advising C-suite stakeholders and mentoring delivery teams.
Principal level · 10+ years · Atlanta-Sandy Springs-Alpharetta, GA · Full-time
“or” means any one of them counts — you don't need all of them.
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
Roughly 4 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (database architects). range 2–6
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $134,044–$177,990).
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 (7)
The role is framed as 'Lead / Principal level' in the posting text, though the title itself only says 'Subject Matter Expert' — advertised seniority is set to Principal based on that explicit framing.
SOC classification is a genuine judgment call: the role's primary day-to-day work spans Lakehouse architecture design and data pipeline engineering (15-1243 Database Architects) but also involves substantial hands-on Spark/Python development and MLOps (15-1252 Software Developers). 15-1243 was chosen because architecture design, data governance, and platform strategy are the dominant framing.
The degree requirement states 'Bachelor's degree … or equivalent practical experience,' which is treated as no hard degree gate.
Multi-cloud requirement (Azure/AWS/GCP) is listed as 'Azure, AWS, or GCP' — one of the three is required; all three are captured via the alternatives field.
PySpark and Scala are listed as interchangeable ('PySpark and/or Scala') — captured as one skill with Scala as an alternative.
Databricks certifications (Data Engineer Professional, ML Professional) appear only under Preferred Qualifications and are not captured as skills since they are credentials rather than named technologies.
No compensation figures were provided in the posting.
Read the full posting
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