Senior Staff Data Engineer - Platform Data and Analytics at Faire
San Francisco, CA
$268,000–$368,500from the description
Jun 29, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on data infrastructure and analytics platforms at a wholesale marketplace. The position spans multiple teams — covering data ingestion, warehousing, orchestration, and analytics engineering — and involves setting architecture strategy, guiding engineering practices, and hands-on technical work. It suits a seasoned data engineer or architect with large-scale pipeline and warehousing experience who is comfortable leading across both platform and product-facing data functions.
Staff level · San Francisco-Oakland-Hayward, CA · Full-time
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 30 people in the San Francisco-Oakland-Hayward, CA area plausibly meet what this posting asks for (database architects). range 15–45
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 $179,727 (middle half $166,748–$216,836). 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 (7)
This role spans data infrastructure architecture, analytics platform strategy, and cross-team technical leadership across 60+ person data functions — scope clearly exceeds Senior and maps to Staff.
The title is not given in the posting; seniority is inferred from the described scope (influencing multiple Platform and Product groups, defining technology strategy and roadmaps across the org).
SOC classification is Medium confidence: the role's primary day-to-day work is designing and architecting data pipelines, warehousing, and orchestration systems (15-1243), but the hands-on development emphasis and software engineering context make 15-1252 a credible alternative.
SQL and Python are listed under Qualifications with firm language ('Strong SQL and Python skills and experience') and are treated as hard gates. ETL/ELT and data warehousing are similarly required by the Qualifications section.
Snowflake, Airflow, Spark, AWS, and Kotlin appear under 'Select technologies we use and teach' — a stack-context section, not a requirements gate — and are therefore preferred.
A bachelor's degree in CS/Software Engineering is listed, but the posting explicitly accepts 'equivalent industry experience,' so no minimum degree is hard-required.
The role is hybrid (3 days/week in-office in San Francisco); it is not fully remote.
Read the full posting
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