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 is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role combines deep technical expertise with leadership qualities, serving as a technical lead and a mentor to other engineers.

You will be instrumental in building robust data pipelines, influencing architectural decisions, and ensuring the delivery of high-quality data products that support advanced analytics and machine learning initiatives.

In this position, you will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and business stakeholders to translate complex analytical requirements into scalable, reliable, and efficient data solutions. You will also drive best practices in automation, data quality, and operational stability, ensuring that data infrastructure aligns with enterprise standards and strategic goals. Your expertise will enable McKesson to leverage data as a strategic asset, fostering innovation and supporting data-driven decision-making across the organization.

Qualifications To succeed in this role, you should have recognized expertise in data engineering and analytics within large, enterprise environments. A minimum of 10+ years of relevant experience, with a solid ability to independently lead complex technical initiatives,



is required.

Proven experience in influencing technical direction and mentoring other engineers without formal management responsibilities is essential. A deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing is crucial, along with excellent stakeholder communication and collaboration skills.

Educational qualifications typically include a degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Your background should demonstrate a comprehensive knowledge of data systems, cloud platforms, and automation tools, enabling you to support advanced analytics and ML initiatives effectively.

Responsibilities

- Lead end-to-end technical delivery for complex data engineering projects or domains, ensuring solutions are scalable, reliable, and aligned with business needs.
- Serve as a senior technical point of contact for data engineering within cross-functional squads, providing guidance and expertise.
- Design and develop 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 architectural decisions and define technical standards.
- Establish and uphold engineering best practices, patterns, and standards aligned with enterprise data strategy.
- Mentor and review work of data engineers, fostering a culture of continuous improvement and technical excellence.
- Ensure the quality, reliability, and maintainability of data products through rigorous testing, monitoring, and operational practices.
- Partner with Product Managers, Data Scientists, Analysts,



and stakeholders to translate business requirements into effective data solutions.
- Promote automation and reusability in data engineering solutions to improve efficiency and reduce technical debt.
- Oversee testing strategies, production readiness, observability, and operational stability of data pipelines.
- Identify and address technical debt proactively, leading remediation efforts to improve system robustness.
- Enable advanced analytics and machine learning use cases 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, including comprehensive health benefits, retirement plans, and performance-based incentives. We support your qualified growth through continuous learning opportunities, leadership development programs, and a collaborative work environment. Our commitment to work-life balance is reflected in flexible work arrangements and wellness initiatives. Additionally, employees have access to various employee assistance programs and resources designed to promote overall well-being. We believe in recognizing and rewarding your contributions and providing a supportive environment where you can thrive both personally and professionally.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to 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 fostering an inclusive workplace where diversity is valued and all individuals are treated with respect.

If you require a reasonable accommodation during the application process, please contact us via email. Resumes or CVs submitted through email will not be accepted. For more information, please visit our Equal Employment Opportunity page.

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