Senior Director, Data Platform Engineering

What you'll do

• Build and manage a team of 30–40 data engineers; set priorities, mentor staff, and support their development.
• Own the data platform roadmap, architecture, delivery, reliability, security, and performance.
• Partner with scientists and product and engineering teams to deliver data services, including agentic and low-code interfaces for exploration, analytics, and ML/inference.

What they ask for

• 12+ years of software development experience focused on data processing at scale, including 5+ years leading senior engineers.
• Experience building on AWS/GCP primitives such as S3 + Athena/BigQuery and query engines; operating petabyte-scale platforms with sub-second query latency.
• Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads; familiarity with LLM/AI-native data patterns.
• Hands-on Python coding and modern backend frameworks; infrastructure-as-code and Kubernetes experience; BS, MS, or Ph.D. in Computer Science or a related field.

Nice to have

• Community thought leadership through conference presentations or blog posts; experience growing teams focused on open-source technologies.
• Scientific data management and quality experience; experience building self-service data products with developer experience as a priority.

Pay

$260,000 — $390,000 USD (base salary)

Tools

AWS, GCP, S3, Athena, BigQuery, Python, Kubernetes, Kafka

AI focus

Supports AI/ML workloads, including concurrent model training and inference; requires familiarity with LLM/AI-native data patterns such as vector stores, embedding pipelines, and pre/mid/post training; drives agentic and low-code data interfaces for ML/inference.