What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Deep experience designing and operating cloud data platforms in regulated environments
- Strong Snowflake expertise including RBAC secure sharing monitoring and cost optimization
- Proven data pipeline expertise with failure handling retries reconciliation observability and recovery
- Strong Python and SQL engineering skills with testing version control review packaging and CI/CD
- Experience operating production data systems across development staging and production
- Experience delivering data beyond the warehouse to applications APIs ML systems or reverse-ETL
- Sound security and architectural judgment when handling sensitive or regulated data
- Strong technical communication and cross-functional leadership skills
- Self-directed low-ego approach favoring simple supportable solutions
- Technical or quantitative degree or equivalent professional experience
Nice to have
- Healthcare experience
- Mission driven
- Low ego
- Cross-functional
- Self-directed
Day to day
- Own the architecture and technical roadmap for a Snowflake-centered data platform with a strong focus on security reliability usability and cost control
- Build and operate robust data pipelines and integrations using Python and SQL including ingestion incremental processing schema evolution retries reconciliation observability and recovery
- Design secure data access patterns governance contracts and lineage while enabling data delivery into applications APIs analytics ML and customer-facing products
- Lead cross-functional technical initiatives and raise engineering standards by partnering with Analytics Engineering DevOps Data Science Security Product Engineering ML and Integrations
Hiring process
- Apply through the official careers page
- Talent Acquisition team follows up