Data Platform Engineer (Customer Engineering)

This role sits between customers and the engineering team. You'll onboard design-partner accounts, debug their pipelines alongside them, and translate the recurring patterns into product changes — not into a backlog of one-off scripts. If you love the warehouse layer and you're tired of writing the same custom integration twice, this is the role.

• Lead technical onboarding for new design-partner customers.
• Debug live syncs against Redshift, BigQuery, and customer warehouses; fix or escalate root causes.
• Convert recurring customer pain into prioritized engineering work — be the loop, not the buffer.
• Own the runbook and feedback channel between Customer Engineering and Product / Engineering.
• Help shape the pricing and packaging story by grounding it in real customer behavior.

• 3+ years working hands-on with analytics warehouses (Redshift, BigQuery, Snowflake) in production.
• Strong SQL and dbt fluency — you can read and write moderately complex models without flinching.
• Comfortable in a customer-facing role — clear writing, calm under pressure, allergic to BS.
• Engineering background: you can read TypeScript and contribute small fixes / scripts yourself.

• Prior experience at an ELT, ETL, or analytics-engineering company.
• Familiarity with BI tools (Looker, Mode, Hex, Metabase).
• Experience writing public-facing technical content.

$140K – $180K + equity. Salary bands are honest — the range above is what we'll actually pay, anchored on level and location. Plus:

• Meaningful early-stage equity (4-year vest, 1-year cliff).
• Health, dental, and vision coverage (US) or local equivalent (EU).
• Home-office stipend and annual learning budget.
• Four weeks of vacation, plus the week between Christmas and New Year.
• Twice-yearly team offsites.

Use the Apply button on this page. We read every application — no recruiter screen, no take-home tests until we've talked. Expect a reply within 5 business days, even if the answer is no.