Senior Data Engineer

You like owning a platform end to end and staying hands-on while you do it. You're comfortable in a small team, and you're energized by building rather than by growing an org around you. You influence through the work: architecture, code review, and clear conventions, not a title.

5+ years building and operating production data platforms

Expert SQL and strong Python

Experience designing incremental, idempotent, well-tested pipelines

Solid experience with BigQuery or another modern cloud data warehouse

Experience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte

Experience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)

Infrastructure-as-code experience with Terraform or a close equivalent

Strong data modeling skills: dimensional modeling, warehouse design, testing, and observability

Revenue Operations or GTM data experience

Salesforce and Stripe data modeling

Product analytics platforms such as PostHog

Marketing attribution and funnel analytics

MRR, expansion, contraction, churn, and revenue reconciliation logic

Working closely with business stakeholders while keeping engineering discipline

GCP depth, including IAM, service accounts, and BigQuery cost optimization

You own the data platform the whole company runs on, not one pipeline or one domain.

Your work powers forecasting, commissions, pricing, churn analysis, product insight, and board reporting. The quality of your engineering shows up directly in how the company runs.

The stack is modern and AI-forward: Python, dlt, SQLMesh, BigQuery, Terraform, GitHub Actions, with Claude, Cursor, and Linear across the team.

You inherit a foundation that already works, built from scratch, so you evolve and harden it rather than start from zero.

You want a broad, ambiguous platform to own and the autonomy to make calls on it

You ship fast and learn fast, even when things are unfinished

You're comfortable working with teammates across time zones

You probably won't if you want tightly scoped tickets, a fully defined process before acting, or a slow and highly predictable environment.

We're a Series B company with global presence and a team of around 145 people from more than 35 countries. We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (co-founder of GitHub), and Nicolas Dessaigne (co-founder of Algolia).

We'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here.