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Lead Data Platform Engineer 1

McKesson


Job Location:

Mississauga - Canada

Yearly Salary: CAD 122100 - 162800
Posted: 29 September 2026 (14 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

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 tomorrows health today we want to hear from you.

About the Role:

McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data this highly visible technical leadership role you will establish engineering standards architect scalable cloud data platforms and enable analytics AI machine learning and business intelligence solutions across the organization.

You will serve as a trusted technical leader responsible for enterprise-scale data architecture cloud platform strategy governance security and operational excellence. Working closely with architects product teams security partners and business stakeholders you will influence strategic technology decisions while mentoring engineers and advancing engineering best practices.

What Youll Do:
  • Define technical strategy and architecture standards for enterprise data platforms and engineering solutions.
  • Lead the design implementation and optimization of scalable cloud-based data platforms supporting analytics AI machine learning and reporting workloads.
  • Drive large-scale modernization migration and platform transformation initiatives.
  • Establish best practices for DataOps DevOps CI/CD Infrastructure as Code and platform automation.
  • Strengthen governance security compliance access management and data protection controls within regulated environments.
  • Partner with architecture security product and engineering leadership to influence platform roadmaps and technology decisions.
  • Lead incident response platform reliability monitoring observability and operational excellence initiatives.
  • Mentor engineers and foster a culture of innovation technical excellence and continuous improvement.
Basic Requirements:
  • 10 years of professional experience in Data Engineering Data Platform Engineering Cloud Engineering or related disciplines.
  • Bachelors degree in Computer Science Engineering Information Technology or related field (or equivalent combination of education and experience).
  • Experience designing and implementing enterprise-scale data architecture ETL/ELT pipelines and modern data platforms.
  • Advanced proficiency with SQL and Python for large-scale data processing and performance optimization.
  • Hands-on experience with Azure Databricks administration Snowflake Azure Data Lake Storage and Azure Data Factory.
  • Experience implementing cloud security governance identity and access management and compliance controls.
  • Proven ability to lead complex technical initiatives and influence architectural decisions across multiple teams.
  • Strong communication and stakeholder management skills with the ability to translate technical concepts for diverse audiences.
Preferred Skills/Experience:

Understanding of Agile software development methodologies including Scrum and Kanban.

Experience designing and implementing cloud-based data analytics AI and machine learning platforms with strong focus on availability performance resiliency security scalability observability and cost optimization.

Experience developing reference architectures reusable patterns platform guardrails and engineering standards across Azure Databricks Kubernetes networking storage identity secrets management and data services.

Experience evaluating platform requirements and making architectural trade-offs across reliability security compliance interoperability operational efficiency vendor dependency and total cost of ownership.

Experience establishing secure integration patterns for AI applications agents enterprise data vector search private connectivity content controls approved model providers and secrets management.

Experience implementing observability and operational excellence using OpenTelemetry Prometheus Grafana cloud monitoring centralized logging and service-level reporting.

Experience building and maintaining Infrastructure-as-Code configuration automation and CI/CD or GitOps workflows for repeatable platform provisioning deployment testing and lifecycle management.

Experience applying security-by-design zero-trust least-privilege and defense-in-depth principles across identity access management networking encryption data protection platform administration and AI services.

Experience working with large-scale batch and real-time data platforms distributed systems streaming technologies data warehouses and databases including Databricks Snowflake Kafka Oracle SQL Server PostgreSQL and MongoDB.

Experience managing enterprise data platforms and governance capabilities including data storage processing security quality lineage and communicating technical financial and operational considerations to business and engineering leaders.

Azure Administrator Certification preferred.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

$122100 - $162800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media light of these scams please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: .

McKesson is an Equal Opportunity Employer

McKesson provides 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. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


Required Experience:

Senior IC


About Company

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McKesson is the leading healthcare company for wholesale medical supplies & equipment, pharmaceutical distribution, and healthcare technology solutions. McKesson is the central nervous system of health care. At any given moment, in any given minute, we simultaneously execute thousands ... View more

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