Director Data Engineering

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.

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design, development, and optimization of USPD data products. This role involves setting the technical vision, managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating with stakeholders to align data capabilities with business objectives and overseeing data governance, security, and best practices.  The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver high-impact data solutions that power critical business decisions across our USPD portfolio.

Key Accountabilities:

• Strategic Leadership

• Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmap
• Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage
• Establish data engineering standards, best practices, and governance frameworks across the organization

• Technical Excellence

• Design, build, and maintain scalable and AI-ready data products leveraging Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage. 
• Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics

• Organizational Leadership

• Build, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialists
• Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions
• Establish talent development programs, technical career progression paths, and engineering excellence initiatives
• Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization

• Operational Excellence

• Lead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiency
• Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems
• Partner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and DevOps practices to enhance deployment speed and operational reliability
• Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership
• Leverage AI in Data Engineering lifecycle, accelerate code generation, and design and implement robust data pipelines (optimize SQL performance, and implement Self-Healing pipeline logic) supporting petabyte-scale data ingestion, transformation, and distribution
• Ensure data platform security, compliance, and performance optimization across all environments

 Minimum Requirements

• 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.

Critical Skills

• Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
• Advanced proficiency with Databricks platform and advanced analytics workflows
• Extensive experience with BI development, administration, and enterprise deployment
• Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
• Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure

Additional Experience

• Strong technical aptitude and experience with a wide variety of techno