Job Description
Senior Data Engineer | GCP, BigQuery & Data Platform
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I’m recruiting for a growing AdTech company looking for a Senior Data Engineer to take real ownership of its analytical data platform.
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This is not a role where you inherit a perfectly organized warehouse and spend your time maintaining pipelines.
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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.
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What you’ll be doing:
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- 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
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What they’re looking for:
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- Deep production experience with BigQuery and GCP
- Strong hands-on Python and advanced SQL
- Production 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
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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.
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Experience with Superset, dbt/Dataform, Terraform, CI/CD and data governance is also a plus.
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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.
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NYC Hybrid or US Remote
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$160K–$190K base + equity
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If you’ve built or rearchitected a serious GCP / BigQuery data platform and want broader architectural ownership, please apply.