Senior Director, Data Platform Engineering

Highlights

• Own end-to-end data platform powering autonomous science and AI workflows.
• Enable scientists and product teams with self-service data infrastructure at scale.
• Drive platform supporting autonomous DBTL cycles and instrument pipelines.

What they offer

• Competitive base compensation with bonus potential and early-stage equity
• Medical, dental and vision coverage with employer-paid life and disability insurance
• Flexible time off with generous company holidays and paid parental leave
• Educational assistance, commuter benefits and subsidized lunch program

Ideal candidate

An experienced data platform leader who thrives in high-growth environments and cares deeply about developer experience, reliability, and enabling scientists. You combine strategic vision with hands-on mentorship and a passion for autonomous science.

Requirements

• 12+ years of software development experience focused on data processing at scale
• 5+ years of experience leading senior engineers
• Experience building on AWS/GCP primitives like S3 + Athena/BigQuery and query engines
• Operated data platforms at petabyte scale with sub-second query latency
• Experience managing infrastructure supporting 100+ concurrent ML training and inference workloads
• Familiarity with LLM/AI-native data patterns including vector stores and embedding pipelines
• Track record building data platforms in high-growth or early-stage environments
• Hands-on coding in Python with IaC and containerized Kubernetes deployments
• BS, MS, or Ph.D. in Computer Science or related field