Staff Data Infrastructure Engineer

- You take ownership of things that are broken or unowned, and you're willing to be on call for the systems you build - Experience with data quality and observability in practice, including data contracts, SLAs, and tools like Anomalo or Monte Carlo - Experience operating Airflow at scale and working with managed ingestion like Fivetran - Hands-on experience with lakehouse architectures on an open table format. Iceberg on S3 is what we use, so that's especially valuable. You should be comfortable talking about partitioning, compaction, catalogs, and copy-on-write versus merge-on-read - You've built and run data infrastructure that other teams depended on, at meaningful scale, and you've been the person setting direction for it, not just working on it - Experience in a marketplace, e-commerce, or other transaction-heavy business is a plus - Solid Python plus at least one of Kotlin, Java, Scala, or Go. Experience shipping infrastructure on AWS with Terraform - A track record of leading cross-team data initiatives and migrations, and of mentoring senior engineers - Strong Spark skills, and experience running Databricks and Snowflake against shared storage - A working understanding of data governance: access control, PII, retention and deletion, lineage, and audit - You can explain a technical tradeoff to a leadership team and to a new grad, and you can get people who disagree with each other to a decision - Strong SQL, and good instincts for how to model data so analysts and…