Lead, Data Engineer

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.

Summary

The Lead Data Engineer is a senior individual contributor within McKessons 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 serves as a technical leader and playercoach combining deep handson engineering with solution leadership mentorship and crossfunctional influence.

What Youll Do

• Lead endtoend technical delivery for complex data engineering initiatives or domains.
• Serve as a senior technical point of contact for data engineering within crossfunctional squads.
• Design and build scalable reliable batch and realtime data pipelines across internal and external systems.
• Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams.
• Define and uphold engineering standards patterns and best practices aligned with enterprise data strategy.
• Mentor and guide data engineers through design reviews code reviews and technical coaching.
• Ensure quality reliability performance and longterm maintainability of data products.
• Partner with Product Managers Data Scientists Analysts and business stakeholders to translate analytical requirements into scalable solutions.
• Drive an automationfirst and reusabilityfocused mindset across data engineering solutions.
• Oversee testing strategies production readiness observability and operational stability of data pipelines.
• Proactively identify technical debt and lead remediation efforts.
• Enable advanced analytics and ML use cases through optimized data models and pipelines.
• Communicate technical designs tradeoffs risks and outcomes clearly to stakeholders.

What You Bring

• 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 peoplemanagement responsibility.
• Deep understanding of data architecture ETL/ELT patterns and largescale data processing.
• Strong stakeholder communication and collaboration skills.

Technical Skills

• Advanced proficiency in SQL Python and scripting.
• Strong handson experience with:
  • Databricks Snowflake Azure Data Factory
  • Confluent Kafka / Azure Event Hub
  • PySpark and analytical SQL
  • Power BI and/or Tableau
  • Apache Airflow dbt Alation
• Strong understanding of data modeling metadata lineage and data quality practices.
• Experience with cloud platforms (SaaS PaaS IaaS).
• Experience implementing automation and Infrastructure as Code (IaC).
• Ability to support advanced analytics and ML enablement (nonpure DS focus).

Minimum Requirements

• Degree or equivalent and typically requires 10 years of relevant experience.

Preferable Skills & Experience

• Experience leading enterprisescale or BUwide data initiatives.
• Exposure to realtime eventdriven data architectures.
• Familiarity with data governance programs and stewardship responsibilities.
• Experience experimenting with emerging data and AI technologies.
• Background in highly regulated or complex business environments.

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

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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.

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