Senior Data Specialist
About The Position
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.
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
Nice To Haves
- 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
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
- Apply 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
Benefits
- competitive compensation package
- annual bonus
- long-term incentive opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
