Data Platform Engineer

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering.

As one of Cursor's first Data 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. You'll partner with Data, Product, GTM, and AI research teams to turn messy, repeated data needs into durable infrastructure.

Cursor is already operating at enormous scale, but our data platform is still early. This role is for someone who wants to own the low-level foundations: optimizing TB-scale ingestion, improving resource usage and alerting, codifying access control with infra-as-code, and making pragmatic build-vs-buy decisions across the modern data stack.

Your responsibilities will include:

• Own, operate, and improve Cursor's Databricks and lakehouse infrastructure as the data team size and data volume scales.
• Build and optimize ingestion systems for first-party product data and 3rd-party business systems.
• Ensure observability, alerting, and operational standards across all data infrastructure layers.
• Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.
• Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.

We're looking for someone with 4+ years of full-time data platform engineering experience, who has built up modern data stacks at a low level, not just written jobs on top of it. Experience with Dagster is a strong plus.