Data Platform Engineer Databricks

Position Title: Data Platform Engineer Databricks

Location Seattle / NYC (hybrid work)

Responsibilities

• Design, build, and enhance platform capabilities within Databricks and related technologies.
• Build reusable data products and self-service capabilities.
• Design and maintain data pipelines and integration frameworks.
• Improve data quality, reliability, lineage, and monitoring.
• Accelerate research-to-production delivery: prototype solutions alongside researchers; establish patterns that make productionization easier and faster; reduce friction between research and engineering workflows.

Skills

Must have

• 8+ years of platform and data solutions experience
• Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities

• Python
• SQL
• Modern CI/CD, IaC (Terraform strongly preferred)
• Data Governance and observability (Unity Catalog, lineage, monitoring)
• Orchestration (Airflow)
• AI fluency: use of AI agents (Claude Code preferred) as a primary tool to design, build, test, and support solutions

Nice to have

• Financial domain experience, especially quant research
• API development
• PowerBI