Sr. Data Platform 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 tomorrow’s health today, we want to hear from you.

Summary (Purpose of job):      The Data Engineering – Level 4 provides technical leadership in designing, implementing, and optimizing McKesson’s enterprise data infrastructure to design, build, and optimize enterprise-scale data platforms that power analytics, operational reporting, AI/ML initiatives, and data-driven decision making. This role combines deep data platform engineering expertise with modern cloud platform capabilities to deliver scalable, secure and reliable data platform solutions in a highly regulated healthcare environment. You will partner with architects, data scientists, analysts and engineering teams to advance McKesson's data ecosystem while driving innovation, operational excellence, and data platform security initiatives.

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 support   physical, mental, and financial well-being. Our Total Rewards offerings