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Staff Data Platform Engineer
<p>100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and long-term direction of a foundational data platform in San Francisco, California. In this role, you will shape how critical operational data is modeled, governed, and accessed to support automation in a highly regulated healthcare environment. You will combine architectural leadership with hands-on engineering to build reliable, scalable systems that enable product teams to move quickly while maintaining accuracy, performance, and audit readiness.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.</p><p>• Develop and maintain the platform services and storage layers that support AI-enabled workflows, ensuring data is both usable for decision-making and controlled for compliance needs.</p><p>• Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.</p><p>• Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.</p><p>• Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.</p><p>• Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.</p><p>• Write production-quality backend code and contribute directly to implementation across the data platform stack.</p><p>• Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.</p>
<p>• 12+ years of software engineering experience, with experience designing data platforms or foundational data layers for complex, evolving software systems.</p><p>• Experience building platforms from the ground up (0-1) or modernizing existing platforms.</p><p>• Strong expertise in Python and building production-grade services in cloud-based environments.</p><p>• Deep knowledge of relational database design, including schema architecture, performance tuning, and data modeling decisions.</p><p>• Hands-on background with AWS and infrastructure tooling such as Terraform.</p><p>• Proven ability to operate and improve large-scale production systems with a focus on reliability and performance.</p><p>• Experience with platforms such as Databricks, Snowflake, Microsoft Fabric</p><p>• Ability to make sound technical decisions in fast-changing environments with incomplete or evolving requirements.</p><p> </p><p>Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.</p>
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  • San Francisco, CA
  • remote
  • Permanent / Full Time
  • 200000 - 250000 USD / Yearly
  • <p>100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and long-term direction of a foundational data platform in San Francisco, California. In this role, you will shape how critical operational data is modeled, governed, and accessed to support automation in a highly regulated healthcare environment. You will combine architectural leadership with hands-on engineering to build reliable, scalable systems that enable product teams to move quickly while maintaining accuracy, performance, and audit readiness.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.</p><p>• Develop and maintain the platform services and storage layers that support AI-enabled workflows, ensuring data is both usable for decision-making and controlled for compliance needs.</p><p>• Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.</p><p>• Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.</p><p>• Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.</p><p>• Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.</p><p>• Write production-quality backend code and contribute directly to implementation across the data platform stack.</p><p>• Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.</p>
  • 2026-07-31T00:00:00Z

Staff Data Platform Engineer Job in San Francisco, CA | Robert Half