Staff Data Infrastructure Engineer

Join Faire as a Staff Data Infrastructure Engineer, where you'll set the technical direction for data movement from production systems to analytical stores. You'll build the CDC and streaming ingestion layer, implement data contracts and quality checks, and own the reliability of the platform. You'll work closely with senior engineers, data scientists, and analysts, and mentor other engineers. Enjoy comprehensive healthcare, generous time off, parental leave, productivity support, and more.

- Set the technical direction for data movement from production systems to analytical stores, and own the roadmap for implementation. - Build the CDC and streaming ingestion layer, ensuring proper handling of ordering, deduplication, late data, schema changes, and backfills. - Implement data contracts and quality checks throughout the platform, and take ownership of the datasets the business relies on.

- A working understanding of data governance: access control, PII, retention and deletion, lineage, and audit - Strong SQL, and good instincts for how to model data so analysts and data scientists can actually use it - 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 - A track record of leading cross-team data initiatives and migrations, and of mentoring senior engineers - 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 operating Airflow at scale and working with managed ingestion like Fivetran - 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 - You take ownership of things that are broken or unowned, and you're willing to be on call for the systems you build - Solid Python plus at least one of Kotlin, Java, Scala, or Go. Experience shipping infrastructure on AWS with Terraform - Strong Spark skills, and experience running Databricks and Snowflake against shared storage - Experience in a marketplace, e-commerce, or other transaction-heavy business is a plus - Deep experience with change data capture and streaming ingestion from operational databases through Kafka. You know what goes wrong with ordering, duplicates, snapshots, and schema evolution because you've dealt with it - Experience with data quality and observability in practice, including data contracts, SLAs, and tools like Anomalo or Monte Carlo