Lead Data Engineer

We’re hiring a Lead Data Engineer to own our data platform and ETL strategy end to end.

This is a hands-on leadership role. You’ll architect, build, and scale production systems, while also setting standards, creating playbooks, and helping level up the data function as the company scales 5–10x over the next year. This is a critical backfill with real ownership from day one.

What you’ll do

• Own the design, evolution, and scaling of the data platform in production
• Lead ETL / ELT strategy and execution end to end
• Own orchestration using Dagster including asset design, partitioning, and operational best practices
• Define core data models and metrics used by the business
• Set engineering standards, establish SLOs, and build runbooks for critical datasets
• Mentor other engineers and help grow the data engineering function over time

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• Build a clear roadmap for scaling ETL over the next 2–3 quarters

What we’re looking for

• 5–10 years of experience in data engineering
• Proven experience building and scaling data platforms in production
• Strong ownership mindset and comfort operating with ambiguity
• Experience with modern cloud data stacks

Tech stack

• Dagster
• BigQuery
• GCP
• Temporal
• Modern ETL pipelines

The setup

• Full time role based in San Francisco
• Hybrid model with one in-office day per week
• Competitive equity
• Visa sponsorship available