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 The Senior Data Specialist at McKesson plays a critical role in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on Azure Databricks. This role involves building enterprise-scale data pipelines, implementing modern lakehouse architectures, and enabling the creation of trusted, high-quality data products that support analytics, artificial intelligence, machine learning, and strategic business decision-making.

The ideal candidate will possess extensive hands-on experience with Databricks, PySpark, advanced SQL, Azure Data Factory, Azure Data Lake Storage, Delta Lake, Delta Live Tables, and Change Data Capture frameworks. They will be instrumental in designing and supporting robust Medallion Architecture patterns while ensuring data quality, performance, security, and governance across the enterprise.

This role requires close collaboration with architects, product teams, analytics stakeholders, and governance teams to deliver scalable, reusable, and production-ready data engineering solutions within a highly regulated environment. The Senior Data Specialist will be a key contributor to McKesson’s data ecosystem, empowering the organization with reliable and actionable data insights.

Qualifications To succeed in this role, candidates should possess a strong technical background combined with relevant industry experience. A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is required; a master’s degree is preferred.



Candidates should have at least 7 years of experience in data engineering and enterprise data platform development, with a minimum of 3 years of deep hands-on experience with Azure Databricks in production environments.

Proven expertise in designing, building, and supporting enterprise-grade data solutions is essential. Candidates must demonstrate a comprehensive understanding of data modeling, data warehousing, metadata management, and governance best practices. Experience working with large volumes of structured and semi-structured data, especially within regulated industries such as healthcare, pharmaceuticals, or life sciences, is highly preferred.

Strong proficiency in PySpark and advanced SQL for large-scale data processing and optimization is required. Familiarity with CI/CD pipelines, automated testing, and deployment processes is also necessary. Certifications in Azure and Databricks are highly desirable, as they validate technical expertise and commitment to continuous learning.

Responsibilities

- Design, build, and optimize large-scale data pipelines utilizing Azure Databricks, PySpark, and advanced SQL techniques to ensure efficient data processing.
- Develop and maintain batch and near real-time data ingestion frameworks using Azure Data Factory, Delta Lake, and Change Data Capture methodologies to support various business needs.
- Implement modern Lakehouse architectures leveraging Medallion Architecture (Bronze, Silver, Gold layers) to structure and organize enterprise data effectively.
- Create and support Delta Live Tables (DLT) pipelines to enhance data reliability, maintainability, and quality across data workflows.
- Develop scalable and resilient ETL/ELT frameworks capable of processing high-volume datasets with minimal latency.
- Optimize Spark workloads, including partitioning strategies, job orchestration,



and SQL performance tuning to maximize processing efficiency.
- Establish monitoring, alerting, troubleshooting, and performance tuning practices to maintain high availability and reliability of data pipelines.
- Implement data quality validation frameworks, lineage tracking, and metadata management to support governance and compliance requirements.
- Collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with organizational standards and goals.
- Lead engineering best practices, conduct code reviews, promote CI/CD adoption, and develop reusable frameworks to streamline development processes.
- Mentor junior engineers, providing technical guidance and fostering a culture of continuous improvement and innovation.
- Stay updated with emerging Azure and Databricks capabilities, recommending platform enhancements to improve performance and operational efficiency.

Benefits McKesson offers a comprehensive benefits package that supports the health, well-being, and financial security of our employees. Our Total Rewards program includes competitive compensation, health insurance, retirement plans, paid time off, and wellness programs. We also provide opportunities for professional development, continuous learning, and career advancement. Our flexible work arrangements, including a hybrid work model, help employees maintain a healthy work-life balance. Additional benefits may include performance bonuses, long-term incentives, and employee assistance programs designed to promote a supportive and engaging work environment.

Equal Chance

McKesson is an Equal Opportunity Employer that values diversity and inclusion. 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 committed to creating an inclusive environment where everyone can thrive.

If you require a reasonable accommodation during the application process, please contact us via email

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