Staff Data Platform Engineer

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.

Responsibilities:

Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.

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.

Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.

Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.

Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.

Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.

Write production-quality backend code and contribute directly to implementation across the data platform stack.

Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.

12+ years of software engineering experience, with experience designing data platforms or foundational data layers for complex, evolving software systems.

Experience building platforms from the ground up (0-1) or modernizing existing platforms.

Strong expertise in Python and building production-grade services in cloud-based environments.

Deep knowledge of relational database design, including schema architecture, performance tuning, and data modeling decisions.

Hands-on background with AWS and infrastructure tooling such as Terraform.

Proven ability to operate and improve large-scale production systems with a focus on reliability and performance.

Experience with platforms such as Databricks, Snowflake, Microsoft Fabric

Ability to make sound technical decisions in fast-changing environments with incomplete or evolving requirements.

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