Jun. 04, 2026
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.
We are seeking a Senior Data Specialist to join our Decision Intelligence team and support the design of scalable, AI-ready data platforms using Azure Databricks. In this role, you will contribute to building modern data architectures that enable advanced analytics and AI use cases, including Retrieval-Augmented Generation (RAG).
You will collaborate with data engineers, analytics teams, and business stakeholders to deliver secure, high-quality data solutions aligned with enterprise standards. This is a senior individual contributor role, focused on solving complex problems and guiding implementation, not people management.
Responsibilities
- Design and implement scalable data architecture solutions on Azure Databricks to support analytics and AI use cases
- Develop and maintain data models (conceptual, logical, and physical) aligned with enterprise standards
- Contribute to AI-ready data pipelines, including support for RAG, vector search, and ML workflows
- data governance and security practices, including Unity Catalog, access controls, and data lineage
- Partner with cross-functional teams (engineering, analytics, business) to translate requirements into technical solutions
- Create reusable data architecture patterns, frameworks, and best practices
- Support production readiness by enabling monitoring, performance optimization, and data quality controls
- Other duties may be assigned as needed to meet Company goals
Basic Requirements
- Degree or equivalent experience. Typically requires 7+ years of relevant experience.
- 7+ years of hands-on experience in data architecture, data engineering, or data platform design
- Proven experience working with Azure Databricks and cloud-based data platforms
- Strong experience in data modeling (dimensional, relational, or domain-driven design)
- Experience building or supporting data pipelines, ETL/ELT frameworks, and large-scale data systems
- Experience with data governance, security, and compliance practices (e.g., access controls, data lineage)
- Demonstrated experience working with SQL, Python, or Spark-based data processing
Preferred Skills / Experience
- Experience supporting AI/ML or advanced analytics workloads (e.g., RAG, vector databases, MLflow)
- Familiarity with Unity Catalog, data observability, or data quality frameworks
- Ability to communicate technical concepts effectively with cross-functional stakeholders and influence solution design
Work Model / Physical Requirements
We are Flex and Connect with 2 days a week in office
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, (opens in new window)
Our Base Pay Range for this position
$99,100 - $132,100
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com (opens in new window).
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to 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. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity (opens in new window) page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] (opens in new window) or (Canada) [email protected] (opens in new window). Resumes or CVs submitted to this email box will not be accepted.
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