GreyOrange - Staff Data Engineer

Role Overview: 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.