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Staff Data Engineer Platform & Data

Early Applicant
  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

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.

More Info

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About Company

Job ID: 153869475

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