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 the Decision Intelligence organization, responsible for leading the design, development, and operationalization of scalable data engineering and analytics solutions across the Pharmacy Supply Chain Services (PSaS) Business Unit. This pivotal role combines technical expertise with leadership responsibilities, serving as a player-coach to guide and mentor data engineering teams, influence architectural decisions, and ensure the delivery of high-quality data products. The successful candidate will collaborate closely with cross-functional teams, including data scientists, analysts, product managers, and business stakeholders, to translate analytical requirements into robust, scalable data solutions.

This role is instrumental in driving automation, optimizing data pipelines, and enabling advanced analytics and machine learning initiatives to support strategic business objectives.

Qualifications The ideal candidate will possess recognized expertise in data engineering and analytics within large enterprise environments, with a minimum of 10+ years of relevant experience. A robust ability to independently lead complex technical initiatives with minimal oversight is essential, along with proven experience influencing technical directions and mentoring other engineers without formal management responsibilities.



Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing is required.

Candidates should demonstrate excellent stakeholder communication and collaboration skills, with a track record of delivering reliable, high-performance data solutions. A degree in Computer Science, Data Science, or a related field is typically required, along with relevant certifications and hands-on experience with modern data tools and cloud platforms.

Responsibilities

- Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring alignment with business goals and technical standards.
- Serve as a senior technical point of contact for data engineering within cross-functional squads, providing guidance and technical mentorship.
- 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 solution design and architectural decisions.
- Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy and industry standards.
- Mentor and guide data engineers through design reviews, code reviews, and technical coaching to foster skill development and best practices.
- Ensure the quality, reliability, performance, and long-term maintainability of data products and pipelines.
- Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical and operational requirements into scalable data solutions.




- Promote an automation-first and reusability-focused mindset across all data engineering solutions, reducing manual interventions and increasing efficiency.
- Oversee testing strategies, production readiness, observability, and operational stability of data pipelines, ensuring seamless deployment and maintenance.
- Proactively identify technical debt and lead initiatives to remediate and optimize existing data systems.
- Enable advanced analytics and machine learning use cases through the development of optimized data models and pipelines.
- Communicate complex technical designs, tradeoffs, risks, and outcomes clearly to stakeholders at all levels.

Benefits McKesson offers a comprehensive and competitive total rewards package designed to support our employees' health, financial security, and well-being. Our benefits include health insurance options, retirement savings plans, paid time off, and wellness programs. We also provide opportunities for professional growth and development through training, certification programs, and leadership initiatives. Our flexible work arrangements and employee assistance programs are aimed at fostering a healthy work-life balance. The company is committed to creating an inclusive environment that values diversity and supports employee success at every stage of their careers.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all 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 and diverse workplace where everyone can thrive.

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

📌 Lead Data Engineer (Canada)
🏢 AgileGrid Solutions
📍 Canada