About The Company McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About The Role The Lead Data Engineer at McKesson is a senior individual contributor within our Decision Intelligence organization. This role is pivotal in leading the design, development, and operationalization of scalable data engineering and analytics solutions across the Pharmaceutical Supply Chain Services (PSaS) Business Unit.

As a technical leader, you will serve as both a hands-on engineer and a solution architect, guiding cross-functional teams through complex data initiatives. Your expertise will influence architectural decisions, establish best practices, and mentor junior engineers to ensure the delivery of high-quality data products.

You will collaborate closely with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical needs into scalable, reliable data pipelines and models. Your work will enable advanced analytics and machine learning use cases, supporting McKesson's strategic objectives. The role requires a proactive mindset, emphasizing automation, reusability, and operational excellence to ensure data solutions are efficient, maintainable, and aligned with enterprise standards.

Qualifications The ideal candidate will possess recognized expertise in data engineering and analytics within large, enterprise environments.



You should have a proven track record of independently leading complex technical initiatives with minimal oversight, influencing technical direction, and mentoring other engineers without formal management responsibilities.

A deep understanding of data architecture, ETL/ELT processes, and large-scale data processing is essential. Strong stakeholder communication and collaboration skills are also critical for success in this role.

Minimum requirements include a degree or equivalent and typically over 10 years of relevant experience in data engineering, analytics, or related fields. Preferable skills include experience leading enterprise-wide data initiatives, exposure to real-time event-driven architectures, familiarity with data governance, and a background working in highly regulated or complex business environments.

Responsibilities

- Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring solutions meet business and technical requirements.
- Serve as a senior technical point of contact for data engineering within cross-functional squads, providing guidance and expertise.
- Design and build scalable, reliable batch and real-time data pipelines across internal and external systems, ensuring data integrity and performance.
- Collaborate with Data Architects and enterprise teams to influence and define architectural decisions and solution designs.
- Establish and uphold engineering standards, patterns, and best practices aligned with the enterprise data strategy.
- Mentor and review the work of data engineers through design reviews, code reviews, and technical coaching sessions.
- Ensure the quality, reliability, performance,



and long-term maintainability of data products and pipelines.
- Partner with Product Managers, Data Scientists, Analysts, and stakeholders to translate analytical requirements into scalable data solutions.
- Promote an automation-first mindset, emphasizing reusability and operational efficiency in data engineering solutions.
- Oversee testing strategies, production readiness, observability, and operational stability of data pipelines.
- Identify and address technical debt proactively, leading remediation efforts to maintain system health.
- Support advanced analytics and machine learning initiatives through optimized data models and pipelines.
- Communicate complex technical designs, trade-offs, risks, and outcomes clearly to stakeholders at all levels.

Benefits McKesson offers a competitive total rewards package, designed to attract and retain top talent. Compensation is determined based on factors such as experience, skills, performance, and market conditions. In addition to base salary, employees may be eligible for annual bonuses and long-term incentives. We also provide comprehensive benefits including health insurance, retirement plans, paid time off, and wellness programs. Our commitment extends beyond compensation, fostering a supportive environment that encourages professional growth, innovation, and work-life balance.

Equal Chance

McKesson is an Equal Opportunity Employer that provides equal employment opportunities to all applicants and employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to creating an inclusive environment where everyone can thrive.

If you require a reasonable accommodation during the application process, please contact us via email. For more information on our EEO policies, please visit our website.

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