Principal Data Engineer
Core
Design, build, and operate a centralized cloud-native data platform (Data Hub) to consolidate legacy infrastructure and enable advanced analytics and AI capabilities for Precision AQ.
Role type
Principal Data Engineer (Senior IC, hands-on technical leadership)
Builds
Scalable, secure, cloud-native data platform infrastructure, data pipelines, and data models
Domain
Healthcare/Life Sciences data engineering and platform architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud data platforms, data warehousing, orchestration, transformation, DevOps, SQL, Python, infrastructure automation, production operations, enterprise compliance
Preferred skills
Healthcare/life sciences domain, AI/ML platforms and MLOps, enterprise-scale data migrations, global engineering experience
Technologies
Snowflake, AWS Redshift, S3, dbt, Matillion, Airflow, Dagster, Snowflake Horizon, Elementary, Terraform, GitHub Actions, Azure DevOps, Snowpark ML, MLflow, Snowflake Feature Store, LangChain
Responsibilities
Design and maintain scalable cloud-native data platform infrastructure; Develop infrastructure-as-code, CI/CD pipelines, and deployment automation; Design scalable data models supporting analytics, reporting, and AI/ML; Build and optimize data ingestion, transformation, and delivery pipelines; Establish and enforce software engineering, GitOps, and DevOps standards; Mentor Data Engineers and Analytics Engineers through coaching and code reviews; Participate in roadmap planning, technology evaluations, and executive reporting
Seniority
Principal, hands-on IC with strategic influence
