Director – Data Engineering
| Company | McKesson |
|---|---|
| Location | Chicago, IL, USA, Irving, TX, USA |
| Salary | $151700 – $252900 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- Degree or equivalent experience
- Typically requires 12+ years of professional experience and 4+ years of management experience
- 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
Responsibilities
- 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
- 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
- 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
- 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
Preferred Qualifications
- 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)
- Familiarity with enterprise AI/ML platform development and deployment
- Previous experience at Fortune 100 companies with similar scale and complexity