📋 Description

• Build and evolve the ingestion platform: Python/dltHub pipelines loading into BigQuery, integrating
• Build the transformation layer: SQLMesh models across our layered architecture, clean and
• Improve reliability: Expand data quality and observability, build freshness checks, reconciliation
• Own the platform infrastructure: BigQuery and supporting GCP, plus Terraform, IAM, service
• Enable the business: Deliver trusted datasets to Looker Studio, Google Sheets, and our internal
• Raise the technical bar: Help shape engineering standards and architecture, review pipeline and

🎯 Requirements

• 5+ years building and operating production data platforms
• Expert SQL and strong Python
• Experience designing incremental, idempotent, well-tested pipelines
• Solid experience with BigQuery or another modern cloud data warehouse
• Experience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte
• Experience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)

🎁 Benefits

• 19+ days of paid time off plus 10 paid holidays
• Hybrid work flexibility (3 days a week from the office)
• Free health insurance for the employee and partial coverage for dependents (80% contribution
• 401k contribution plan with 4% match
• Fitness stipend
• Company equity