Sr Data Speaclist

About The Company 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. About The Role We are seeking an experienced Senior Data Engineer to join McKesson's Technology Pharmaceutical Solutions and Services (PSaS) DI Data Architecture and Engineering organization. This role involves designing and implementing advanced data product architectures, providing analytical insights, and collaborating across multiple teams to develop innovative data solutions. The ideal candidate will play a key role in modernizing our supply chain organization by enabling rapid AI/ML experimentation, operationalizing successful use cases, and monetizing insights. The Senior Data Engineer will work closely with data scientists, analysts, BI developers, data architects, and delivery leaders to create scalable, governed, and high-quality data products. This position offers an exciting opportunity to influence strategic initiatives, improve data-driven decision-making, and support McKesson’s commitment to innovation and operational excellence. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 7 years of extensive experience in data engineering, building robust data solutions, and developing data products. At least 3 years of proven experience in data architecture, enabling enterprise data solutions. Hands-on expertise with cloud data platforms such as Azure, Databricks, and Snowflake data warehousing. Responsibilities Design and deploy cloud-native data applications and pipelines utilizing Azure and Databricks to support advanced analytics and digital initiatives within pharmaceutical business domains. Lead and manage offshore and nearshore teams to deliver validated, scalable, and governed data products, emphasizing metadata management, data lineage, and domain-driven design principles. Collaborate with data and platform architecture teams to ensure data product designs align with enterprise standards, governance policies, and strategic goals. Establish and enforce best practices for data quality, performance, scalability, and security across all data solutions. Define standardized data models, ontologies, and semantic structures to ensure interoperability and consistency across various data domains. Implement AI-enabled Software Development Lifecycle (SDLC) practices and automation to improve performance, reduce technical debt, and accelerate time-to-market for data products. Drive seamless data integration across multiple platforms, champion modernization efforts through Azure-native technologies, and optimize workflows for reliability, efficiency, and cost-effectiveness. Benefits McKesson offers a competitive total rewards package, including base salary, performance bonuses, and long-term incentives, aligned with market standards and individual performance. Our compensation structure considers experience, skills, and geographic location, ensuring fairness and transparency. In addition to financial rewards, employees benefit from comprehensive health and wellness programs, retirement plans, paid time off, and professional development opportunities. We are committed to fostering a supportive and inclusive work environment that promotes growth, innovation, and work-life balance. Equal Opportunity McKesson is an Equal Opportunity Employer that values diversity and inclusion in the workplace. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are dedicated to creating an inclusive environment where everyone can thrive. If you require a reasonable accommodation during the application process, please contact us via the designated channels. For more information on our EEO policies, please visit our website.

Design and deploy cloud-native data pipelines and architectures using Azure and Databricks to support pharmaceutical business domains. Lead cross-functional and offshore teams to deliver scalable, governed data products and optimize AI/ML experimentation.

Requires a Bachelor's degree in Computer Science or Engineering with at least 7 years of data engineering experience. Must have 3+ years of experience in data architecture and hands-on expertise with Azure, Databricks, and Snowflake.

• Base Salary • Performance Bonuses • Long-term Incentives • Health And Wellness Programs • Retirement Plans • Paid Time Off • Professional Development Opportunities

• Microsoft AzurePreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Data Architecture
• Azure
• Databricks
• Snowflake
• Cloud-native Data Applications
• Metadata Management
• Data Lineage
• Domain-driven Design
• Data Modeling
• AI-enabled SDLC
• Data Integration

• Data & Analytics
• Technology
• Engineering
• Healthcare
• Software

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Associate