Enterprise Data Architect & AI Solutions Leader at AnswerRocket
Atlanta, GA
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Jul 5, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
A senior technical role focused on designing and implementing enterprise-scale data architectures and AI solutions for large corporate clients. Day-to-day work spans building cloud data lakehouse platforms, developing generative AI pipelines (including RAG and multi-agent systems), leading data engineering teams, and engaging directly with client stakeholders. Suited to a seasoned architect with deep hands-on experience who can also operate as a consultant.
Senior level · 10+ years · Remote · Full-time
“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 110 people nationally plausibly meet what this posting asks for (database architects). range 65–170
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $111,775–$173,013).
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 title is 'Enterprise Data Architect Solutions Leader' and the work spans data architecture, lakehouse platform engineering, generative AI pipeline development, and production code writing — a genuine hybrid between 15-1243 (Database Architects) and 15-1252 (Software Developers). 15-1243 was chosen as primary because enterprise data architecture and lakehouse design are the stated core; 15-1252 is the close runner-up given the explicit expectation to write production code and build AI/ML pipelines.
The JD requires a Bachelor's degree 'or equivalent industry experience,' so no formal degree is hard-gated.
10+ years of overall experience is the stated role-level minimum; the JD also calls out 5+ years in enterprise-scale systems and 3+ years in AI/ML platforms as sub-requirements within that total.
Snowflake and BigQuery are listed together as cloud-native lakehouse platform options; BigQuery is captured as an alternative to Snowflake.
Tableau and Power BI appear in the 'What You'll Do' responsibilities narrative rather than a hard-requirements block, so they are marked preferred.
The 'What Makes You Stand Out' section is explicitly framed as differentiating/bonus criteria; LangGraph, Kafka, Spark, cloud/methodology certifications, and thought leadership are all drawn from that section and marked preferred.
No compensation figures are provided. The posting is remote-first and requires US residency/work authorization.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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