Staff Data Engineer
First seen by Alion on Sep 10, 2026.
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.
Skills
Data Engineering, SQL, Data Warehousing, ETL, Data Pipeline