Senior Data Engineer | GCP, BigQuery & Data Platform
I’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 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
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.
Senior Data Engineer in New York at Averity
This position is listed as full time and able to be worked remotely. It was posted 2 days ago.