Jobgether
Senior Data Platform Engineer
- Compensation
- From $159.3K / yr
- From job posting
- Location
- US
- Arrangement
- Remote
- Employment type
- Full-time
- Level
- Senior
- Posted
- 29 September 2026 (yesterday)
Checked yesterdayApplications go to the employer, never to RoleSprint
About this role
Accountabilities • 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.
Requirements
• 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.
Benefits
• 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.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Work location
- US
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About this listing
Published on Lever under the board identifier Jobgether, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 29 September 2026, last checked yesterday. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.