Lead Data Engineer

Lead Data Engineer (Operations / KTLO)

We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics platforms. This role focuses on Keep the Lights On (KTLO) activities, ensuring reliable platform performance, SLA adherence, and continuous improvement across data systems.

What You'll Do

• Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery
• Support cross-functional teams by delivering data insights for complex business problems
• Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes
• Gather requirements, define data models, and support solution design with architects and engineering teams
• Perform data exploration, analysis, and maintain data definitions, business rules, and lineage
• Drive documentation, testing (functional, regression, exploratory), and execution of test plans
• Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems
• Implement data governance practices and promote data literacy across the organization
• Identify and address technical debt; continuously improve and optimize processes
• Monitor, troubleshoot, and tune performance of data platforms and analytical solutions
• Champion automation-first, enterprise-first, and reusable solution design principles
• Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices
• Communicate insights and results through reporting and presentations

What You Bring

• Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory
• Proficiency in SQL, Python, and/or R for data analysis and engineering
• Experience with reporting and visualization tools such as Power BI
• Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting
• Strong understanding of data engineering, analytics, and large-scale data processing
• Experience with distributed data processing tools (e.g., PySpark)
• Familiarity with tools like Splunk, Alation, and data governance frameworks
• Strong leadership, delegation, and stakeholder management skills
• Ability to manage multiple priorities in a fast-paced environment
• Strong problem-solving and strategic thinking capabilities
• Understanding of distribution or supply chain business environments
• Excellent communication and stakeholder management skills
• Ability to manage multiple projects and priorities

Minimum Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field
• 7+ years of experience in data analytics or data engineering
• At least 2 years of experience in a leadership or mentorship role

Preferable Skills & Experience

• Experience supporting KTLO / operations-focused data environments
• Knowledge of SAP and IBM DataStage
• Experience with RESTful services and data platform monitoring tools
• Exposure to advanced analytics, econometrics, or operations research
• Experience working in agile delivery environments
• Strong focus on automation and infrastructure as code (IaC)
• Experience in enterprise-scale data governance and metadata management

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 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

$138,800 - $231,300

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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 McKesson's 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) View email address on click.appcast.io or (Canada) View email address on click.appcast.io.

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