Senior Data & AI Engineer at Meadows & Ohly , LLC
Alpharetta, GA
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Aug 12, 2026
Alpharetta, GA
Sep 24, 2026
What this job asks for AI summary
A hands-on senior engineering role at a healthcare real estate firm, responsible for designing and scaling an enterprise Snowflake data lakehouse, building ETL/ELT pipelines that connect business systems, and developing AI-powered applications such as RAG pipelines and intelligent search. The role also involves data governance, platform observability, and mentoring junior team members, making it well-suited to an experienced data/AI engineer comfortable across both data platform and applied AI work.
Senior level · 5+ years · Atlanta-Sandy Springs-Alpharetta, GA · Bachelor's required · Full-time
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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 10 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (database architects). range 5–15
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 $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 Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role sits at the intersection of data platform engineering (Snowflake, ETL/ELT, data architecture) and applied AI (LLMs, RAG, vector search), making the SOC classification a genuine judgment call between 15-1243 Database Architects and 15-1252 Software Developers. The data platform and pipeline work is framed as the primary responsibility, so 15-1243 was chosen, but the AI application development component is substantial.
LLMs, RAG, and vector search are listed together under a single requirement ('Experience with AI technologies, including…'); all three are captured as separate required skills since the posting treats them as a combined hard gate.
Snowflake certification and experience mentoring team members are explicitly called out as preferred, not required.
No compensation figures are provided in the posting.
The degree requirement is a hard gate — the posting lists a Bachelor's degree under Qualifications with no 'or equivalent experience' language.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): medallion architecture.
Read the full posting
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