The company is seeking a Staff Engineer to help define and drive the technical vision of the Data Platform team as it scales its infrastructure, services, and architecture.
Requirements
- Proven expertise in designing and operating large-scale data infrastructure in cloud-based, distributed environments (e.g., AWS, EMR, Glue, Kafka, Iceberg, dbt)
- Fluency in modern data architecture patterns, including medallion/lakehouse models, schema evolution, streaming ingestion, and batch orchestration
- Deep understanding of observability, CI/CD, version control, and incident management principles in a data engineering context
- Experience shaping engineering standards, frameworks, or libraries used across multiple teams
- Experience working with healthcare data (e.g., claims, EMR) is a plus
- Familiarity with data storage formats, processing frameworks, and platform-wide capabilities
- Knowledge of data contract enforcement, schema governance, and observability frameworks
Responsibilities
- Define and drive architectural strategy and technical design across squads
- Own the long-term technical roadmap for the Data Platform
- Serve as a trusted advisor and design authority, guiding critical decisions on data storage formats, processing frameworks, and platform-wide capabilities
- Drive cross-squad initiatives such as observability frameworks, data contract enforcement, or schema governance
- Continuously evaluate and improve platform reliability, maintainability, and cost-efficiency
- Champion a high standard of engineering rigor
- Mentor and coach engineers across squads
Other
- 8+ years of experience in data engineering
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
- Exceptional ability to communicate technical strategy to both technical and non-technical audiences
- Track record of mentorship and technical leadership across engineering teams
- About 5% travel
- Participate in on-call rotations
