Sr Data Engineer

Description:

We are seeking an experienced Sr Data Engineer to join McKesson Technology Pharmaceutical Solutions and Services (PSaS) DI Data Architecture and Engineering organization. This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems. This person will work cross-functionally with other technology teams, data scientists/analysts, BI Developers, data architects, data engineers, and delivery leaders to design and develop data solutions, data products, insights, and analytic models to help key stakeholders make better informed decisions. This role bolsters our supply chain organization modernization strategic efforts by enabling rapid AI/ML experimentation and operationalization of proven use cases and monetization of insights.

Key Responsibilities
 

• Design and deploy cloud-native data applications and pipelines using Azure and Databricks to enable advanced analytics and digital capabilities across pharmaceutical business domains.
• Manage offshore and nearshore teams to deliver validated, governed, and scalable data products. Promote robust metadata management, data lineage, and domain-driven design.
• Collaborate with data and platform architecture teams to align data product designs with enterprise architecture standards and governance frameworks.
• Define and enforce best practices for data quality, scalability, and performance. Provide technical leadership and mentorship to global engineering teams.
• Establish standardized dimensional models (Facts, Dims), ontologies, and semantic structures to ensure interoperability and consistency across data domains.
• Apply AI-enabled SDLC practices and automation to enhance performance, reduce technical debt, and accelerate time-to-market for data products.
• Drive seamless data integration across platforms, champion modernization through Azure-native technologies, and optimize workflows for performance, reliability, and cost-efficiency.
  
   

Required Qualifications
 

• Bachelor's degree in computer science, Engineering, or a related field.
• 7+ years of strong data engineering experience in building data solutions and data products.