Description
We're looking for an experienced Analytics Platform Engineer to join our team.
As one of our first Analytics Platform Engineers, you'll own the systems that make company-wide data work reliable, secure, and easy to build on. You'll work hands-on across our data lakehouse architecture to support a fast-growing data team and uniquely data-savvy business stakeholders.
Some of the key responsibilities of this role include:
- Owning, operating, and improving Cursor's Databricks and lakehouse infrastructure as the data team size and data volume scales.
- Building and optimizing ingestion systems for first-party product data and 3rd-party business systems.
- Ensuring observability, alerting, and operational standards across all data infrastructure layers.
- Evaluating and rolling out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.
To be successful in this role, you'll need to have 4+ years of full-time data platform engineering experience, including building up modern data stacks at a low level and scaling performant ingestion of billions of data per day.
If you're interested in joining a company where data-savvy users will immediately push you to your limits, we'd love to hear from you.