Lead Data Engineer
Core
Designing, building, and maintaining scalable data infrastructure (pipelines, warehouses, systems) to power AI-native tools for scientific discovery.
Role type
Lead Data Engineer
Builds
Data pipelines, data warehouses, and systems for AI products
Domain
AI/ML infrastructure, scientific discovery
Deliverable
production ML models
Required skills
ETL/ELT design, cloud data warehousing, data modeling, performance optimization, data quality frameworks
Preferred skills
AI/ML infrastructure, vector databases, streaming data, biotechnology domain knowledge
Technologies
Cloud data warehouses, ETL/ELT tools
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Own database performance (schema, indexing, query optimization); Build and improve data warehousing infrastructure; Establish data quality standards and monitoring; Partner with research and product teams; Lead architectural decisions on new data systems
Seniority
Lead, hands-on IC with architectural ownership
