Lead Data Engineer

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 The Lead Data Engineer is a senior individual contributor within McKesson's 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 combines deep hands-on engineering expertise with solution leadership, mentorship, and cross-functional influence. As a technical leader, you will oversee end-to-end data pipeline development, influence architectural decisions, and ensure the delivery of high-quality, reliable data products that enable advanced analytics and machine learning initiatives. You will collaborate closely with product managers, data scientists, analysts, and business stakeholders to translate analytical requirements into scalable, efficient data solutions. Your leadership will drive automation, reusability, and operational excellence, ensuring data pipelines are robust, maintainable, and aligned with enterprise standards. This position offers an exciting opportunity to impact enterprise-wide data strategies and support innovative healthcare solutions. Qualifications 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 people management responsibility. Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing. Strong stakeholder communication and collaboration skills. Typically requires a degree or equivalent and 10+ years of relevant experience. Preferred candidates will have experience leading enterprise-scale data initiatives, exposure to real-time, event-driven architectures, familiarity with data governance, and emerging data and AI technologies. Experience working in highly regulated or complex business environments is a plus. Responsibilities Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring solutions are scalable, reliable, and maintainable. Serve as a senior technical point of contact for data engineering within cross-functional squads, guiding best practices and architectural decisions. Design and build scalable, reliable batch and real-time data pipelines across internal and external systems using modern tools and platforms. Collaborate with Data Architects and enterprise teams to influence solution design and architecture, ensuring alignment with enterprise data strategy. Define and uphold engineering standards, patterns, and best practices to ensure data quality, security, and compliance. Mentor and guide data engineers through design reviews, code reviews, and technical coaching, fostering a culture of continuous improvement. Ensure the quality, performance, and operational stability of data products, overseeing testing, deployment, and monitoring strategies. Partner with product managers, data scientists, analysts, and business stakeholders to translate analytical requirements into scalable data solutions. Promote automation, reusability, and efficiency in data engineering solutions, supporting advanced analytics and machine learning use cases. Identify technical debt proactively and lead efforts to remediate and optimize existing data pipelines and systems. Communicate complex technical designs, trade-offs, risks, and outcomes clearly to stakeholders at all levels. Benefits At McKesson, we are committed to offering a competitive total rewards package that recognizes your skills, experience, and contributions. Our benefits include comprehensive health insurance, retirement plans, paid time off, wellness programs, and opportunities for professional development. We also provide flexible work arrangements and resources to support work-life balance. Our total rewards program is designed to promote your well-being and career growth, ensuring you have the tools and support needed to succeed in your role. Equal Opportunity McKesson is an Equal Opportunity Employer. We provide 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. We are committed to fostering an inclusive environment and supporting diversity in our workforce. If you require a reasonable accommodation during the application process, please contact us by email. Resumes or CVs submitted to email addresses unrelated to our official channels will not be accepted. For more information, please visit our Equal Employment Opportunity page.

Lead the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. Oversee end-to-end data pipeline development while mentoring other engineers and collaborating with cross-functional stakeholders.

Requires a degree or equivalent with 10+ years of relevant experience in data engineering within large enterprise environments. Candidates must possess deep expertise in data architecture, ETL/ELT patterns, and the ability to lead complex technical initiatives independently.

• Health Insurance • Retirement Plans • Paid Time Off • Wellness Programs • Professional Development • Flexible Work Arrangements

• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• ETL/ELT Patterns
• Data Architecture
• Scalable Data Pipelines
• Real-time Data Processing
• Event-driven Architecture
• Data Governance
• Machine Learning
• Technical Leadership
• Stakeholder Communication
• Automation
• Code Review
• Data Quality
• Operational Stability
• Technical Mentorship
• Decision Intelligence

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

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate