Lead Data Engineer

Who you are

• 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

What the job involves

• The data platform in this role is what our go-to-market and product decisions run on
• You'll own the pipelines, integrations, and central repository that bring Stream's data together, plus the models that turn it into something the business can trust
• We're mid-migration to GCP, so there's real architecture to shape
• Two things make this different from most data jobs
• A Revenue Operations team owns the stakeholder relationships and the business questions, so your time goes into building durable systems instead of chasing requirements
• And analytics translation is increasingly handled by AI, which is exactly why the engineering underneath it has to be right
• Data modeling is the core of this role
• It's a small team and a fast, unfinished environment
• High drive, sometimes hectic
• If you like owning a platform end to end, that's the appeal
• Build and evolve the ingestion platform. Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling, and make onboarding a new source predictable and low-risk
• Build the transformation layer. SQLMesh models across our layered architecture, clean and well-tested dimensional models, and clear conventions for grain, naming, and audit. Keep the core business models accurate: revenue waterfall, GTM funnel, marketing attribution, and product usage
• Improve reliability. Expand data quality and observability, build freshness checks, reconciliation tests, and execution monitoring. Take point when data is stale, wrong, or late, and trace issues across pipelines, transformations, and upstream systems
• Own the platform infrastructure. BigQuery and supporting GCP, plus Terraform, IAM, service accounts, scheduled jobs, and deployment workflows, tuned for security, reliability, and cost
• Enable the business. Deliver trusted datasets to Looker Studio, Google Sheets, and our internal CRM, and run reverse ETL back into operational systems like Salesforce
• Raise the technical bar. Help shape engineering standards and architecture, review pipeline and model changes, and share context with the analysts and engineers who contribute to the platform

Benefits

• Equipment & Resources: Computers, standing desks, headphones, and other specialized tools are available for you to be successful
• Paid Vacation: Generous time off on top of observing several national holidays
• Stock Options: You get a piece of ownership in Stream. Stock options are granted to all full-time employees
• Health Coverage: We offer comprehensive healthcare, dental, and vision plans, plus generous parental leave (US only)
• Outings and parties: We like to have fun together! Team outings and parties are regular events around here
• Team Lunch and Snacks: Stream provides in-office daily team lunches and a stocked kitchen with tasty snacks and craft coffee
• 401k: Plan for your retirement through the company offered 401k (US only) or the local pension scheme in Amsterdam, to which Stream will make a contribution
• Commuter Benefits: Employees receive free Office parking and transportation benefits
• Monthly fitness stipend: We value the health and well being of our employees