Lead Data Engineer

Important note: We expect the person in this role to actively use AI tools, including tools like Claude, to accelerate development, reduce toil, and solve data engineering problems more quickly. At the staff level, we also expect you to influence how the team adopts AI tooling: sharing patterns that work, flagging patterns that don't, and helping the team integrate AI safely into design, review, and incident workflows. We will talk about how you use AI in your work during the interview, and we expect your fluency with these tools to grow as part of your professional development here.

We do not expect deep knowledge across every item below, but familiarity with several of these will help you ramp quickly.

Most importantly, we are looking for a strong technical background, the willingness to learn what you do not already know, and demonstrated experience setting technical direction and building data systems at meaningful scale.

• 8+ years of end-to-end commercial software and application development
• 3+ years of commercial software development for a multi-tenant cloud platform
• Demonstrated experience owning complex, ambiguous initiatives end-to-end and setting technical direction for a team
• Go and JavaScript, and software development under Linux or Unix-based systems
• Python and SQL for data work
• Data ingestion and streaming pipelines under high volume and velocity
• Data storage and modeling: relational and columnar stores, data warehouses, and search and analytics engines (Quickwit, Elasticsearch)
• ClickHouse or Snowflake for data storage
• AWS and cloud-native, multi-tenant infrastructure
• Observability for data systems (Grafana, Prometheus)
• Git and modern development workflows

The anticipated base salary range for this position is $170,000–$180,000 annually, with final compensation determined based on experience, skills, qualifications, and other job-related factors.