Director, Data Engineering
Core
Lead the design, development, and evolution of enterprise data platforms (data lake/lake house) on AWS to empower scientific, clinical, operational, and commercial teams with trusted, actionable data.
Role type
Director, Data Engineering (hands-on IC with team leadership)
Builds
Scalable, secure, reliable data solutions on AWS supporting analytics, ML, bioinformatics, and operational workloads
Domain
Biotech/Life Sciences + Cloud Data Engineering (AWS)
Deliverable
production ML models | product features | infrastructure
Required skills
Data engineering strategy, AWS data lake/lake house architecture, ETL/ELT frameworks, distributed data processing, SQL, Python, data modeling, team leadership, data governance, data quality, security, privacy controls
Preferred skills
Biotech/life sciences domain experience, scientific/clinical/lab data pipelines, MLOps platforms, cost optimization for AWS, metadata management, data catalog platforms
Technologies
AWS (S3, Glue, Athena, Lambda), Snowflake
Responsibilities
Lead strategy and roadmap for cloud-native data architectures; oversee ingestion, transformation, quality, governance, and orchestration pipelines; drive architectural decisions for high-availability systems; establish best practices (CI/CD, testing, observability, lineage); partner with cross-functional teams to deliver data products; ensure platform security and compliance; manage and mentor engineering teams; evaluate emerging technologies for modernization; translate business/scientific needs into scalable solutions; own operational excellence for production pipelines
Seniority
Director, strategic leadership with hands-on technical execution
