Senior Data Engineer
$160k - $190kAverity
Job Description
Senior Data Engineer | GCP, BigQuery & Data Platform
\nI’m recruiting for a growing AdTech company looking for a Senior Data Engineer to take real ownership of its analytical data platform.
\n \nThis is not a role where you inherit a perfectly organized warehouse and spend your time maintaining pipelines.
\n \nYou’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.
\n \nWhat you’ll be doing:
\n- \n
- Own and evolve a production GCP / BigQuery data platform \n
- Design scalable data models, warehouses and governed data marts \n
- Build production pipelines using Python, Apache Beam, Dataflow, Airflow and Cloud Composer \n
- Solve hard data problems around retries, idempotency, schema evolution, backfills and late or duplicate events \n
- Define trusted metrics used across product, finance and leadership \n
- Improve reliability, governance, security and cost efficiency across the data platform \n
- Turn ambiguous business needs into a practical technical roadmap \n
- Help shape the architecture for the company’s future data organization \n
What they’re looking for:
\n- \n
- Deep production experience with BigQuery and GCP \n
- Strong hands-on Python and advanced SQL \n
- Production experience with Apache Beam / Dataflow \n
- Strong Airflow / Cloud Composer experience \n
- Experience designing or materially rearchitecting cloud data warehouses and data lakes \n
- Strong understanding of data modeling, reliability and governance \n
- A track record of independently owning complex data-platform initiatives \n
- Ability to work across technical and non-technical teams and drive decisions without needing a large platform organization around you \n
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.
\n \nExperience with Superset, dbt/Dataform, Terraform, CI/CD and data governance is also a plus.
\n \nThis 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.
\n \nNYC Hybrid or US Remote
\n \n$160K–$190K base + equity
\n \nIf you’ve built or rearchitected a serious GCP / BigQuery data platform and want broader architectural ownership, please apply.
$160k - $190k
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