Lead Data Engineer

About

Join McKesson as a Lead Data Engineer, leading KTLO efforts in our Decision Intelligence team. Combine your technical skills with operational leadership to enhance healthcare analytics platforms. In this role, you'll take charge of daily operations within our PSaS Data & Analytics frameworks, ensuring stability and compliance with SLAs. You will partner with Data Engineers and Analysts to design and support innovative data solutions. Your focus on incident management and reducing technical debt will be crucial for our enterprise data landscapes.

Responsibilities

• Oversee the reliability and performance of data platforms
• Conduct incident management and root cause analysis
• Collaborate on enterprise data solutions and analysis
• Maintain data quality through rigorous testing and monitoring
• Advocate for scalable automation-first data engineering

Requirements

• Minimum 10 years in enterprise data engineering
• Hands-on experience with Azure Data Factory and Databricks
• Depth in data governance, architecture, and metadata
• Understanding of SAP systems and analytics tools
• Strong performance-tuning and troubleshooting skills

Utilize your leadership in data engineering at McKesson to support innovative healthcare solutions.