Senior Data Engineer | GCP, BigQuery & Data PlatformI’m recruiting for a growing AdTech company looking for a Senior Data Engineer to take real ownership of its analytical data platform. This is not a role where you inherit a perfectly organized warehouse and spend your time maintaining pipelines. You’ll help define the architecture across the entire data lifecycle — from source ingestion and durable storage through BigQuery, data marts and business intelligence — while acting as the senior technical authority for how the platform evolves.
What you’ll be doing:- Own and evolve a production GCP / BigQuery 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 BigQuery 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 governance
- A 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 / BigQuery data platform and want broader architectural ownership, please apply.
