Director Data Engineering

• 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

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• 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

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• 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

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• 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

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

• 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

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

• Ability to rapidly learn and if required evaluate a new tool or technology

• Strong verbal & written communication skills

• Demonstrated technical leadership experience

• Be an innovative thinker

• Must have a strong customer and quality focus

• Have been successful in working across organizational boundaries, bringing together people with diverse perspectives and experience to find solutions to complex technical issues

• Proven experience in architecting

, leveraging Generative AI to automate data curation workflows and implementing RAG-ready architectures that serve both structured BI and unstructured LLM applications.

• Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)

• Databricks certifications (Professional Data Engineer, Professional ML Practitioner)

• Experience in regulated industries (healthcare, financial services, manufacturing)

• Master's. Degree in Computer Science, Engineering or equivalent.

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. For more information regarding benefits at McKesson, please click here.