AI Data Architect
3Pillar
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Jul 24, 2026
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Jul 25, 2026
What this job asks for AI summary
A senior architecture role focused on designing and owning an enterprise-wide data platform built specifically to support AI workloads — including RAG applications, autonomous agents, predictive models, and conversational tools. Day-to-day work spans data modeling, pipeline engineering, retrieval infrastructure, agent observability, and setting engineering standards across teams. Suited to a seasoned data architect with 15+ years of experience and hands-on production exposure to LLM-era infrastructure.
Senior level · 15+ years · Remote
“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 35 people nationally plausibly meet what this posting asks for (database architects). range 20–60
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 $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 (9)
No work location is specified in the posting; the flexible work policy and global team footprint suggest remote or hybrid, but this is not explicitly confirmed as fully remote.
The role title carries no seniority level, so the title states no level. However, the 15+ year experience requirement and enterprise-wide ownership scope firmly support a Senior classification — the scope does not clearly reach Staff or Principal as defined by org-wide technical authority across multiple teams.
SOC classification is a genuine judgment call: the role is primarily an AI/data architect designing pipelines, lakehouses, and retrieval infrastructure (15-1243 Database Architects), but the heavy hands-on coding expectations (Python ETL, LangChain, LlamaIndex, LLMOps) and software delivery responsibilities also make 15-1252 Software Developers a credible fit.
Primary Skills are listed under a 'Primary Skills' heading within the Requirements/Technical Skills section and are treated as hard gates. Secondary Skills (MLflow, FastAPI, CI/CD, observability tooling) appear under a 'Secondary Skills' heading and are treated as preferred.
Snowflake and Databricks are listed together as 'Snowflake/Databricks' in Primary Skills; the JD later states 'Strong Experience with either Databricks or Snowflake; experience with both is desirable,' confirming they are interchangeable alternatives for the hard gate, with both being preferred.
Java and Scala appear alongside Python in the ETL expertise requirement ('Python / Java / Scala'); Python is the primary named skill with Java and Scala as alternatives.
LLM APIs covers the named providers (OpenAI, AWS Bedrock, Claude, HuggingFace) listed parenthetically in the Primary Skills section.
Vector stores (Pinecone, FAISS, ChromaDB, OpenSearch) are listed as a grouped parenthetical in Primary Skills; Pinecone is used as the primary name with the others as alternatives.
No compensation figures are provided in the posting.
Read the full posting
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