Lead Data Engineer
McKessonAlpharetta, Georgia, United States ⢠Irving, Texas, United States
Posted March 23, 2026
142700 - 237900 USD
Full Time
About the Company
Welcome to the official LinkedIn page for McKesson Corporation. We're an impact-driven healthcare organization dedicated to âAdvancing Health Outcomes For All.â As a global healthcare company, we touch virtually every aspect of health. Our leaders empower our people to lead with a growth mindset and deliver excellence for our customers, partners, and the wellbeing of people, everywhere. We work with biopharma companies, care providers, pharmacies, manufacturers, governments, and others to deliver insights, products and services that make quality care more accessible and affordable. Delivering better health outcomes for our employees, our communities, and our environment. Every day, we strive to inspire and enable people to reach their full potential. To learn more about how #TeamMckesson helps improve care in every setting, visit: https://bit.ly/3xadvB0
Job Description
Lead Data Engineer responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit.
Requirements
- Lead end-to-end technical delivery for complex data engineering initiatives or domains.
- Serve as a senior technical point of contact for data engineering within cross-functional squads.
- Design and build scalable, reliable batch and real-time data pipelines across internal and external systems.
- Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams.
- Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy.
- Mentor and guide data engineers through design reviews, code reviews, and technical coaching.
- Ensure quality, reliability, performance, and long-term maintainability of data products.
- Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions.
- Drive an automation-first and reusability-focused mindset across data engineering solutions.
- Oversee testing strategies, production readiness, observability, and operational stability of data pipelines.
- Proactively identify technical debt and lead remediation efforts.
- Enable advanced analytics and ML use cases through optimized data models and pipelines.
- Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders.
Benefits
- Competitive compensation package
- Annual bonus or long-term incentive opportunities