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.

Position Summary -

We are seeking an exceptional Director of Data Engineering to join McKesson Technology organization and lead the design, development, and optimization of enterprise-scale data products. This management-level role will drive the strategic vision for data engineering across the enterprise while managing large-scale data operations built on modern data stack. The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver robust, scalable data solutions that power critical business decisions across our global operations.

Key Responsibilities

Strategic Leadership

• Develop and execute comprehensive data engineering strategy aligned with enterprise business objectives and digital transformation initiatives
• 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

• Architect and oversee enterprise-scale data platforms leveraging Microsoft Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Event Hubs)
• Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics
• Ensure adoption of data products leveraging semantic models built on PowerBI and enterprise reporting capabilities to deliver actionable business insights
• Design and implement robust data pipelines supporting petabyte-scale data ingestion, transformation, and distribution
• Ensure data platform security, compliance, and performance optimization across all environments

Organizational Leadership

• Build, mentor, and lead a high-performing team of 25+ data engineers, senior engineers, and technical specialists
• Collaborate cross-functionally with 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

• Oversee enterprise data engineering operations ensuring 99.9%+ uptime, optimal performance, and cost efficiency
• Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems
• Partner with Data Platforms team to drive automation 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

Minimum Qualifications -Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience

Critical Skills -

• Experience leading digital transformation initiatives and complex technology implementations
• Strong background in building and scaling data engineering organizations (20+ person teams)
• 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 including Delta Lake, MLflow, and advanced analytics workflows
• Extensive experience with BI development, administration, and enterprise deployment
• Strong foundation in modern data architectures: data lakes, data warehouses, real-time streaming, and event-driven systems
• Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure-as-code practices

Additional Skills -

• Experience with P&L responsibility, budget management, and technology ROI optimization
• Strong understanding of enterprise data governance, regulatory compliance, an