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Data Platform Engineer

  • Canada

The salary range for this position is between $122,100 and $162,800. · Full-time

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Job details

Pay
The salary range for this position is between $122,100 and $162,800.
Job type
Full-time
Experience
10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
Posting language
English
Posted

Original job description

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

McKesson is seeking a Lead Data Platform Engineer to define and drive the future of our enterprise data ecosystem. This highly visible technical leadership position involves establishing engineering standards, architecting scalable cloud data platforms, and enabling advanced analytics, artificial intelligence, machine learning, and business intelligence solutions across the organization. As a trusted technical leader, you will oversee 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 promoting engineering best practices.

Qualifications

To succeed in this role, candidates should possess:

  • 10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
  • A Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience.
  • Proven experience designing and implementing enterprise-scale data architectures, ETL/ELT pipelines, and modern data platforms.
  • Advanced proficiency in 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.
  • Demonstrated ability to lead complex technical initiatives and influence architectural decisions across multiple teams.
  • Strong communication skills with the ability to translate technical concepts for diverse audiences.

Responsibilities

  • Define technical strategy and establish 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 to enhance data capabilities.
  • Establish best practices for DataOps, DevOps, CI/CD, Infrastructure as Code, and platform automation to streamline operations.
  • Strengthen governance, security, compliance, access management, and data protection controls within regulated environments.
  • Collaborate 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, fostering a culture of innovation, technical excellence, and continuous improvement.

Benefits

At McKesson, we are proud to offer a competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as performance, experience, skills, equity, and market evaluations. The salary range for this position is between $122,100 and $162,800. In addition to base pay, employees may be eligible for annual bonuses, long-term incentives, and other benefits. We also provide comprehensive health insurance, retirement plans, paid time off, professional development opportunities, and a supportive work environment designed to promote work-life balance. For more details on our benefits, please visit our benefits page.

Equal Opportunity

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 fostering an inclusive environment and encourage candidates of diverse backgrounds to apply. If you require a reasonable accommodation during the application process, please contact us via email. Resumes or CVs sent to this email will not be accepted. For additional information on our Equal Employment Opportunity policies, please visit our EEO page.

More about this job

Responsibilities

Define enterprise data platform strategy and architecture standards, and lead the design, modernization, and optimization of scalable cloud platforms for analytics, AI, machine learning, and reporting. Establish operational, security, and governance practices while guiding incident response, collaborating across teams, and mentoring engineers.

Requirements

Requires 10 or more years of relevant experience and a bachelor's degree in a related field or equivalent education and experience. Candidates should have enterprise data architecture and pipeline experience, advanced SQL and Python skills, hands-on experience with Azure Databricks, Snowflake, Azure Data Lake Storage, and Azure Data Factory, and a record of technical leadership and cloud security and governance work.

Skills

  • Data Engineering
  • Data Platform Engineering
  • Cloud Engineering
  • Enterprise Data Architecture
  • SQL
  • Python
  • Azure Databricks
  • Snowflake
  • Azure Data Lake Storage
  • Azure Data Factory
  • Cloud Security
  • Data Governance
  • Identity and Access Management
  • ETL/ELT
  • DataOps
  • DevOps

Benefits

  • Health Insurance
  • Retirement Plans
  • Paid Time Off
  • Professional Development
  • Work-Life Balance

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Engineering
  • Management & Leadership
  • Healthcare

Keywords

  • Data Engineering
  • Data Platform Engineering
  • Cloud Engineering
  • Enterprise Data Architecture
  • ETL/ELT Pipelines
  • SQL
  • Python
  • Azure Databricks
  • Snowflake
  • Azure Data Lake Storage
  • Azure Data Factory
  • Cloud Data Platforms
  • Cloud Security
  • Data Governance
  • Identity and Access Management
  • Compliance
  • DataOps
  • DevOps
  • CI/CD
  • Infrastructure as Code
  • Platform Automation
  • Artificial Intelligence
  • Machine Learning
  • Business Intelligence
  • Analytics
  • Data Protection
  • Monitoring
  • Observability
  • Incident Response
  • Platform Reliability

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