About The Role

Join Stream as a Lead Data Engineer and take ownership of our data platform that drives go-to-market and product decisions. You'll build and evolve our ingestion platform, transformation layer, and improve data reliability. You'll also own the platform infrastructure and enable the business with trusted datasets. This role offers the opportunity to shape and own the architecture, work with a modern tech stack, and have a direct impact on the company's success.

Lead the technical ownership of the data platform, including pipelines, integrations, and central repository.
Build and evolve the ingestion platform, transformation layer, and improve reliability through data quality and observability.
Set technical direction by defining engineering standards and architecture, reviewing pipeline and model changes, and mentoring engineers and analysts.
You like owning a platform end to end and staying hands-on while you do it
You're comfortable in a small team and a fast, unfinished environment, and you're energized by building rather than by growing a large org around you
You lead through the work: architecture, code review, and mentoring, not a management title
Expert SQL and strong Python
Experience designing incremental, idempotent, well-tested pipelines
Strong data modeling skills: dimensional modeling, warehouse design, testing, and observability
Experience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)
Infrastructure-as-code experience with Terraform
6+ years building and operating production data platforms
Deep experience with BigQuery or another modern cloud data warehouse
Experience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte
A track record of technical leadership through architecture, code reviews, and mentoring
Revenue Operations or GTM data experience
Salesforce and Stripe data modeling
Product analytics platforms such as PostHog
MRR, expansion, contraction, churn, and revenue reconciliation logic
Marketing attribution and funnel analytics
Deep GCP familiarity, including IAM, service accounts, and BigQuery cost optimization
Working closely with business stakeholders while keeping engineering discipline

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