Overview
The Databricks Architect will be responsible for leading the design and implementation of a data platform tailored for a life sciences client. This role necessitates close collaboration with scientists and engineering teams, ensuring the technical integrity of the data platform while managing regulated clinical, research, and lab data. The ideal candidate will possess extensive knowledge in Databricks and experience with regulated data settings.
Responsibilities
- Own the data platform architecture for the life sciences client.
- Lead the design of the Lakehouse, ensuring governance at scale.
- Work closely with scientists and engineering teams to meet project requirements.
- Establish standards for platform deployment and operational processes.
- Implement best practices for managing regulated data, including GxP and GDPR compliance.
- Incorporate advanced use cases such as genomics and digital biomarker data into the architecture.
Requirements
- Demonstrated expertise in Databricks, particularly in Lakehouse design and Unity Catalog.
- Proven experience with regulated data handling (GxP, GDPR, pseudonymisation).
- Background in life sciences, including pharma, biotech, or healthcare data.
- Experience in setting architectural standards for data platforms.
- Familiarity with clinical, research, or lab data.
- Knowledge of real-world evidence and digital biomarkers is a significant advantage.