Data Engineering Team Lead
Core
Lead a data engineering team building scalable data pipelines and architecture standards for life sciences and healthcare projects.
Role type
Senior/Lead Data Engineering Team Lead
Builds
Scalable data pipelines, data harmonization processes, and data foundations for AI/ML use cases
Domain
Life sciences and healthcare
Deliverable
production ML models
Required skills
Team leadership and mentorship, Data architecture design, Cloud data engineering (AWS, GCP, Azure), PySpark, Python, SQL, DataOps (CI/CD, pipeline versioning, testing, lineage), Stakeholder management, Clinical trial data processing
Preferred skills
Terraform, Bash, PowerShell, Managed Tables, Lakehouse best practices, Databricks Asset Bundles, GxP regulations, Agile facilitation, Non-relational data systems (MongoDB, CosmosDB), AI/ML data foundations
Technologies
Databricks, dbt, PySpark, SQL, Azure, AWS, GCP, Unity Catalog, Terraform, Bash, PowerShell, MongoDB, CosmosDB
Responsibilities
Lead, mentor, and support a team of data engineers; Define and drive data architecture standards and engineering best practices; Build and oversee scalable data pipelines; Execute data harmonization processes on clinical trial datasets; Partner with stakeholders to explore new use cases and translate requirements into technical solutions; Represent the data engineering function in cross-functional discussions
Seniority
Senior/Lead
