Staff Analytics Platform Engineer
Core
Designing and leading the architecture of a scalable, secure analytics platform that powers trusted insights for health research and product teams.
Role type
Staff Analytics Platform Engineer (Infrastructure & Architecture)
Builds
End-to-end data platforms including Snowflake architecture, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments.
Domain
Healthcare / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python engineering, Snowflake architecture, dbt execution, semantic layer design, Kubernetes, Terraform, data observability, CI/CD, data modelling, cloud-native environments
Preferred skills
Airbyte, semantic layers (Omni), secure notebook environments (Coder, Jupyter, RStudio), data governance models
Technologies
Snowflake, dbt, Airbyte, Kubernetes, Terraform, Omni, Coder, Jupyter, RStudio
Responsibilities
Co-owning analytics platform architecture and defining long-term technical vision; establishing architectural principles balancing reliability, governance, and performance; leading platform initiatives for cost efficiency and operational maturity; owning core components like CI/CD, testing, and observability; driving Snowflake performance optimization; implementing data SLAs/SLOs and quality frameworks; mentoring engineers and raising engineering standards.
Seniority
Staff, technical leadership & mentorship