Senior Data Platform Engineer

📋 Description

• Own the Google Cloud data platform, including BigQuery, Datastream, Cloud Run functions and jobs
• Manage data infrastructure through Terraform, using established modules and standards while
• Build and maintain CI/CD pipelines for datasets, data pipelines, and serverless workloads, keeping
• Establish monitoring, logging, alerting, and automated drift detection for data freshness
• Implement secure-by-default practices for sensitive patient information, including PHI
• Partner with infrastructure and compliance teams on access reviews, audits, security controls

🎯 Requirements

• Deep, hands-on experience with Google Cloud data infrastructure, including BigQuery, IAM, service
• Proven experience managing infrastructure as code using Terraform or an equivalent technology
• Experience owning or operating a production data platform end to end, including data ingestion
• Strong production-level SQL and Python skills, with the ability to build and maintain reliable data
• Demonstrated experience securing sensitive or regulated data through controls such as
• Experience working closely with data scientists, analysts, or other data-focused teams to remove

🎁 Benefits

• Compensation: $159,319 annual salary, with equal pay for team members performing the same role at
• Paid parental leave for biological and adopted children.
• 18 paid company holidays, including one week-long mid-year and one week-long end-of-year break.
• 9 wellness days for personal wellbeing and unexpected needs.
• 15 days of paid time off.
• A paid one-month sabbatical after four years of employment and every four years thereafter.