Data Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in United States.

• Own the Google Cloud data platform, including BigQuery, Datastream, Cloud Run functions and jobs, service accounts, IAM, and related infrastructure.
• Manage data infrastructure through Terraform, using established modules and standards while ensuring production changes are delivered through code review and CI/CD rather than manual console changes.
• Build and maintain CI/CD pipelines for datasets, data pipelines, and serverless workloads, keeping staging and production environments consistent and reproducible.
• Establish monitoring, logging, alerting, and automated drift detection for data freshness, infrastructure failures, PHI controls, IAM permissions, and service exposure.
• Implement secure-by-default practices for sensitive patient information, including PHI classification, column-level policy tags, masked views, least-privilege access, and internal-only service ingress.
• Partner with infrastructure and compliance teams on access reviews, audits, security controls, migration planning, and operational runbooks.
• Enable data scientists and analysts to work efficiently by providing safe self-service environments and clear paths from exploratory analysis to scheduled production workloads.
• Help move analytical initiatives into production, including outcomes reporting and other data workloads tied to organizational objectives.
• Own the data team's infrastructure backlog, identify and remove platform bottlenecks, and provide technical guidance that allows teams to focus on analysis rather than infrastructure maintenance.
• Maintain clear documentation covering platform architecture, runbooks, data definitions, lineage, and operational procedures.
• Establish measurable standards for platform reliability, security, deployment practices, and internal request turnaround, using defined KPIs to continuously improve the platform.

• Deep, hands-on experience with Google Cloud data infrastructure, including BigQuery, IAM, service accounts, and serverless technologies such as Cloud Run in production environments.
• Proven experience managing infrastructure as code using Terraform or an equivalent technology, along with CI/CD platforms such as GitHub Actions.
• Experience owning or operating a production data platform end to end, including data ingestion, change data capture, layered data warehouses, monitoring, and operational reliability.
• Strong production-level SQL and Python skills, with the ability to build and maintain reliable data workloads.
• Demonstrated experience securing sensitive or regulated data through controls such as least-privilege IAM, column-level security, policy tags, masked views, and automated security checks.
• Experience working closely with data scientists, analysts, or other data-focused teams to remove infrastructure constraints and accelerate delivery.
• Strong understanding of how cloud infrastructure and data services behave in production, including troubleshooting failures and addressing root causes.
• Ability to establish reliable engineering practices around deployment, monitoring, documentation, and operational ownership.
• Strong communication and collaboration skills, with the ability to work effectively across engineering, data, infrastructure, security, compliance, and other organizational teams.
• A proactive, ownership-oriented approach, with the ability to operate independently, prioritize competing needs, and make thoughtful technical decisions.
• Genuine interest in applying technology and reliable data infrastructure to healthcare access and health equity.

• Compensation: $159,319 annual salary, with equal pay for team members performing the same role at the same level regardless of geographic location.
• 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.
• Medical, dental, and vision insurance for employees and their families.
• Health Savings Accounts and Flexible Spending Accounts.
• Short- and long-term disability insurance.
• $100 annual wellness budget per employee, with flexibility to spend on physical, emotional, or mental wellness resources.
• PerkSpot access with discounts from hundreds of participating vendors.