Lead Data Engineer

LEAD DATA ENGINEER — REVENUE OPERATIONS ABOUT STREAM Stream powers real-time Chat https://getstream.io/chat/, Video https://getstream.io/video/, Activity Feeds https://getstream.io/activity-feeds/, and AI Moderation https://getstream.io/moderation/ for billions of end-users across thousands of apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience. THE ROLE We're looking for a Lead Data Engineer to join Stream on our mission of elevating the quality of apps for billions of users globally. You'll be the technical owner of the data platform our go-to-market and product decisions run on. This is a full-time role based in our Amsterdam office. WHAT YOU'LL WORK ON You'll own the pipelines, integrations, and central repository that bring Stream's data together, and the models that turn it into something the business can trust. A Revenue Operations team owns the stakeholder relationships and business questions, so your time goes into building durable systems rather than chasing requirements. Analytics translation is increasingly handled by AI, which is exactly why the engineering underneath it matters. Strong data modeling is at the core of this role. We're mid-migration to GCP, so there's real architecture to shape and own. Job responsibilities: - 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, G