Lead Data Engineer

Lead Data Engineer, Revenue OperationsStream powers real-time Chat, Video, Activity Feeds, and AI 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 RoleThe 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.This is a full-time job opening based in Boulder (3 days hybrid).What You'll DoBuild 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.About YouYou 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.You have:5+ years building and operating production data platformsExpert SQL and strong PythonExperience designing incremental, idempotent, well-tested pipelinesSolid experience with BigQuery or another modern cloud data warehouseExperience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or AirbyteExperience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)Infrastructure-as-code experience with Terraform or a close equivalentStrong data modeling skills: dimensional modeling, warehouse design, testing, and observabilityBonus points:Revenue Operations or GTM data experienceSalesforce and Stripe data modelingProduct analytics platforms such as PostHogMarketing attribution and funnel analyticsMRR, expansion, contraction, churn, and revenue reconciliation logicWorking closely with business stakeholders while keeping engineering disciplineGCP depth, including IAM, service accounts, and BigQuery cost optimizationWhy This One Is Worth A LookYou 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'll Thrive Here IfYou want a broad, ambiguous platform to own and the autonomy to make calls on itYou ship fast and learn fast, even when things are unfinishedYou're comfortable working with teammates across time zonesYou probably won't if you want tightly scoped tickets, a fully defined process before acting, or a slow and highly predictable environment.Why Join Stream?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.What We Offer19+ days of paid time off plus 10 paid holidaysHybrid work flexibility (3 days a week from the office)Free health insurance for the employee and partial coverage for dependents (80% contribution coverage for health and 100% for dental and vision)401k contribution plan with 4% matchFitness stipendCompany equityDog-friendly office!A Macbook Pro providedA Learning and Development budgetTeam lunches and plenty of snacksRTD pass + free parking pass on Pearl StreetAn office on Pearl Street in downtown Boulder12 weeks paid parental leave for primary parentsThe opportunity to attend or present to global conferences and meetupsThe possibility to visit our office in AmsterdamNote: this list of benefits applies to Colorado-based employees and is adjusted per your location of residence.Salary (for Colorado only): Our salary ranges are based on national averages. We have wide ranges so we can be flexible and determine compensation based on a number of factors including the candidate's skills, level of experience, and location.For Colorado