🛠 Tech Stack

💼 About This Role

You'll architect Lakehouse solutions on Azure and Databricks for clinical trial data, enabling advanced analytics and ML workflows. This role ensures regulatory compliance in a life sciences context.

🎯 What You'll Do

• Design data models and ingestion pipelines
• Implement data governance and security controls
• Enable data science and ML workflows
• Collaborate with clinical operations teams

📋 Requirements

• 15+ years in data architecture/engineering
• 5+ years with Microsoft Azure
• 3+ years with Databricks
• Expertise in PySpark, SQL and data modeling

✨ Nice to Have

• Programming in Python (pandas), Scala, or dbt
• Certifications: Azure Data Engineer (DP-203), Databricks Architect

🚩 Heads Up

• Experience requirements (15+ years) are unusually high
• Role mixes architecture, engineering, governance, and compliance responsibilities