Sr. Data Platform Engineer

Key Responsibilities:

• Design, build, and optimize scalable cloud-native data platforms where data teams will deploy and run ETL/ELT solutions supporting enterprise analytics.
• Help with large-scale modernization, migration, and platform transformation initiatives.
• Engineer and maintain data platforms leveraging Azure Databricks, Snowflake, Azure Data Factory, and Azure Data Lake Storage.
• Implement data governance, metadata management, data quality controls, and security best practices.
• Partner with data scientists and analytics teams to enable AI, machine learning, and advanced reporting initiatives.
• Troubleshoot complex data platform and production issues, performing root cause analysis and implementing sustainable solutions.
• Drive automation, CI/CD, DataOps, and platform modernization initiatives to improve scalability, reliability, efficiency, and cost.
• Mentor engineers and influence adoption of engineering standards, cloud best practices, and operational excellence.

Minimum Job Qualifications (Knowledge, Skills, & Abilities):

• 7+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Data Engineering, or related disciplines.
• Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent experience.
• Strong experience designing and implementing enterprise-scale data platforms in the cloud environment.
• Advanced proficiency in SQL and Python.
• Experience working with cloud-based data platforms such as Azure Databricks, Snowflake, Azure Data Factory, or similar technologies.
• Experience with data modeling, metadata management, and data integration across multiple systems.
• Experience implementing data quality, governance, security, and compliance controls.
• Proven ability to troubleshoot and resolve complex data and platform issues.

Business Experience:

• Bachelor’s degree or equivalent combination of education and experience. Typically requires 7+ years of relevant professional experience in data engineering or related fields.

• Hands-on experience with advanced Azure Data bricks and ETL development, SQL/Python scripting, and experience managing multiple data platforms.

• Experience in healthcare or other regulated industries is preferred.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to supportphysical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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 McKesson's 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.

Our Base Pay Range for this position

€73,100 - €121,900

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

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McKesson job postings are posted on our career site: careers.mckesson.com.