Top Benefits
About the role
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 hands-on engineering expertise with solution leadership, mentorship, and cross-functional influence. As a technical leader, you will oversee end-to-end data pipeline development, influence architectural decisions, and ensure the delivery of reliable, scalable, and high-quality data products that support advanced analytics and machine learning initiatives.
You will collaborate closely with product managers, data scientists, analysts, and business stakeholders to translate analytical requirements into robust data solutions. Your leadership will drive automation, reusability, and best practices across data engineering efforts, ensuring operational stability, performance, and compliance with enterprise standards. This role offers an exciting opportunity to shape the future of data infrastructure and analytics capabilities within a leading healthcare organization.
Qualifications
Recognized expertise in data engineering and analytics within large, enterprise environments. Strong ability to independently lead complex technical initiatives with minimal oversight. Proven experience influencing technical direction and mentoring other engineers without formal people management responsibility. Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing. Strong stakeholder communication and collaboration skills. A minimum of 10+ years of relevant experience, along with a degree or equivalent qualification, is typically required for this role.
Responsibilities
Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring alignment with business needs and enterprise standards. 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. Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams to optimize data workflows. Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy and compliance requirements. Mentor and guide data engineers through design reviews, code reviews, and technical coaching to foster a high-performing team environment. 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 requirements into scalable data solutions. Drive automation-first and reusability-focused mindset across data engineering solutions to improve efficiency and scalability. Oversee testing strategies, production readiness, observability, and operational stability of data pipelines, proactively addressing issues. Identify technical debt and lead efforts to remediate and optimize data infrastructure. Enable advanced analytics and machine learning use cases through optimized data models, pipelines, and data architecture. Communicate 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 your professional growth and personal well-being. Our benefits include health insurance options, retirement plans, paid time off, and wellness programs. We also provide opportunities for continuous learning, career development, and participation in innovative projects that impact healthcare on a global scale. Our commitment to work-life balance and employee satisfaction makes McKesson a rewarding place to build your career.
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 environment where all individuals can thrive. If you need a reasonable accommodation during the application process, please contact us by email. We encourage all qualified candidates to apply and join us in making a difference in healthcare.
Not the right fit? Search for Data Engineer jobs in Canada
Similar Jobs
Top Benefits
About the role
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 hands-on engineering expertise with solution leadership, mentorship, and cross-functional influence. As a technical leader, you will oversee end-to-end data pipeline development, influence architectural decisions, and ensure the delivery of reliable, scalable, and high-quality data products that support advanced analytics and machine learning initiatives.
You will collaborate closely with product managers, data scientists, analysts, and business stakeholders to translate analytical requirements into robust data solutions. Your leadership will drive automation, reusability, and best practices across data engineering efforts, ensuring operational stability, performance, and compliance with enterprise standards. This role offers an exciting opportunity to shape the future of data infrastructure and analytics capabilities within a leading healthcare organization.
Qualifications
Recognized expertise in data engineering and analytics within large, enterprise environments. Strong ability to independently lead complex technical initiatives with minimal oversight. Proven experience influencing technical direction and mentoring other engineers without formal people management responsibility. Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing. Strong stakeholder communication and collaboration skills. A minimum of 10+ years of relevant experience, along with a degree or equivalent qualification, is typically required for this role.
Responsibilities
Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring alignment with business needs and enterprise standards. 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. Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams to optimize data workflows. Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy and compliance requirements. Mentor and guide data engineers through design reviews, code reviews, and technical coaching to foster a high-performing team environment. 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 requirements into scalable data solutions. Drive automation-first and reusability-focused mindset across data engineering solutions to improve efficiency and scalability. Oversee testing strategies, production readiness, observability, and operational stability of data pipelines, proactively addressing issues. Identify technical debt and lead efforts to remediate and optimize data infrastructure. Enable advanced analytics and machine learning use cases through optimized data models, pipelines, and data architecture. Communicate 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 your professional growth and personal well-being. Our benefits include health insurance options, retirement plans, paid time off, and wellness programs. We also provide opportunities for continuous learning, career development, and participation in innovative projects that impact healthcare on a global scale. Our commitment to work-life balance and employee satisfaction makes McKesson a rewarding place to build your career.
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 environment where all individuals can thrive. If you need a reasonable accommodation during the application process, please contact us by email. We encourage all qualified candidates to apply and join us in making a difference in healthcare.
Not the right fit? Search for Data Engineer jobs in Canada