Staff Data Engineer— Platform & Data

Own the data infrastructure that turns Foundry's operational data — scenarios, runs, BOMs, customer usage — into something Post-Sales, Customer Success, and leadership can actually query and trust. What You'll Do

• Design and build the data pipeline that moves operational data out of Foundry's tenant-scoped Postgres schemas into an analytics-friendly warehouse, respecting tenant isolation throughout.
• Build the metrics and reporting layer Post-Sales and Customer Success teams use to track customer health, usage, and adoption.
• Own data quality: schema-drift detection, pipeline monitoring, and making sure a broken upstream change doesn't silently corrupt downstream reports.
• Partner with Foundry Core on billing and metering data — usage-based metrics need to be accurate enough to bill against.
• Establish data modeling conventions for a still-young data platform.

What We're Looking For

• 5+ years of data engineering experience, including building ELT/ETL pipelines from an operational database into a warehouse.
• Strong SQL and experience with a modern data stack (dbt, Airflow, Fivetran, or equivalent — exact tools flexible).
• Experience with multi-tenant data isolation requirements — this pipeline must never leak one customer's data into another's reporting.
• Comfort partnering directly with business stakeholders to define what "the right metric" actually means.

Nice to Have

• Experience building usage-based billing or metering data pipelines specifically.
• Familiarity with warehouse automation or B2B SaaS customer-success metrics.