Lead AI Architect - Data Platform
Banyan Software
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Jul 17, 2026
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Jul 21, 2026
What this job asks for AI summary
A founding architect role responsible for designing and building a centralized data lake and AI platform on AWS for a software holding company's internal teams. The work spans data modeling, lakehouse architecture, AI experimentation infrastructure, and safety guardrails, with a player-coach mandate to eventually hire and lead a small platform engineering team. Suits a seasoned, hands-on data and AI platform builder with strong AWS depth and prior team leadership experience.
Senior level · 10+ years · Remote · Bachelor's required · Full-time
Advertised as Staff, but the requirements read as Senior.
“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 60 people nationally plausibly meet what this posting asks for (database architects). range 10–100
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). 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 (12)
The compensation is quoted in CAD ($180,000–$240,000/year), indicating this role is based in Canada despite Banyan's Atlanta HQ. The US-based flag is set to false accordingly. The role appears to be remote-eligible given no specific city is stated beyond the company HQ.
The SOC classification is a genuine judgment call: the role's primary deliverable is a governed data lake and AI/data platform (pointing to 15-1243 Database/Data Architects), but the JD also emphasizes writing code, shipping infrastructure, and building ML/AI platform patterns (pointing to 15-1252 Software Developers). 15-1243 was chosen as the primary because the architectural design of the data lake and data model is the stated cornerstone of the work.
Advertised seniority is set to Staff because the title is 'Lead AI Architect' — 'Lead' in this context signals cross-team technical direction and a player-coach mandate, which maps to the Staff band. The actual requirements (10+ years, hands-on IC with future team-building) support Senior.
The Bachelor's degree requirement is stated as a hard gate ('Bachelor's degree in computer science, engineering, or a related field'); a Master's is explicitly called 'a plus, not a requirement' and is therefore not captured as a hard gate.
Snowflake and Databricks appear under 'Bonus Points' and are listed as preferred. They are emitted as two separate preferred skills because the JD treats them as distinct tools ('Snowflake or Databricks'), not a single interchangeable pair — though alternatives are cross-populated to reflect the 'or' framing.
EKS and ECS are listed together as alternatives in the JD ('EKS or ECS'); emitted as one skill with the other as an alternative.
Terraform and AWS CDK are listed as alternatives in the JD ('Terraform or CDK'); emitted as one skill with the other as an alternative.
Airflow and Dagster are listed as alternatives in the JD ('Airflow, Dagster, or similar'); emitted as one skill with the other as an alternative.
Fivetran and Airbyte are listed as alternatives in the JD ('Fivetran, Airbyte, custom'); emitted as one skill with the other as an alternative.
Apache Iceberg, Delta Lake, and Apache Hudi are listed as alternatives in the JD ('Iceberg, Delta, or Hudi'); emitted as one skill with the others as alternatives.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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