Senior Data Engineer

What you’ll be doing: Own and evolve a production GCP / Big Query data platform Design scalable data models, warehouses and governed data marts Build production pipelines using Python, Apache Beam, Dataflow, Airflow and Cloud Composer Solve hard data problems around retries, idempotency, schema evolution, backfills and late or duplicate events Define trusted metrics used across product, finance and leadership Improve reliability, governance, security and cost efficiency across the data platform Turn ambiguous business needs into a practical technical roadmap Help shape the architecture for the company’s future data organization What they’re looking for: Deep production experience with Big Query and GCPStrong hands-on Python and advanced SQLProduction experience with Apache Beam / Dataflow Strong Airflow / Cloud Composer experience Experience designing or materially rearchitecting cloud data warehouses and data lakes Strong understanding of data modeling, reliability and governanceA track record of independently owning complex data-platform initiatives Ability to work across technical and non-technical teams and drive decisions without needing a large platform organization around you Experience in AdTech, programmatic advertising or retail media is highly valuable, but it is not a hard requirement. Strong engineers from other high-volume event environments will also be considered. Experience with Superset, dbt/Dataform, Terraform, CI/CD and data governance is also a plus. This is a great fit for someone who wants to be the person designing the data platform rather than simply consuming it — with real influence over architecture, standards and the roadmap. NYC Hybrid or US Remote$160K–$190K base + equity If you’ve built or rearchitected a serious GCP / Big Query data platform and want broader architectural ownership, please apply.