Senior Data Platform Engineer
Core
Own the health, performance, and cost-efficiency of a Databricks Lakehouse environment while building data pipelines to drive product growth.
Role type
Senior Data Platform Engineer
Builds
Data pipelines and Lakehouse infrastructure for a FinOps platform
Domain
FinTech / Cloud Data Engineering
Deliverable
production ML models
Required skills
Databricks, SQL, Python, AWS infrastructure, data pipeline optimization, end-to-end data flow tracing
Preferred skills
Neon, Lakebase, Supabase, Aurora Postgres, cost optimization at scale, RBAC, data governance
Technologies
Databricks, PySpark, SQL, Python, AWS, Next.js, Vercel, Postgres
Responsibilities
Manage Databricks Lakehouse jobs, pipelines, security, and workspace cleanup; Build and maintain data pipelines in SQL and Python; Optimize legacy jobs and workflows for performance and cost; Trace data flows end-to-end across the stack; Partner with engineering and product teams to ensure data accuracy; Manage AWS infrastructure for the data environment
Seniority
Senior, hands-on IC