Sr. Platform Engineer

at  McKesson

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.

CRITICAL SKILLS

• Strong experience in designing, developing, and managing data platforms, and be a self-starter who can work independently and in a team
• Strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams
• Highly motivated and technically skilled Senior data platform engineer, and you are passionate about developing data-driven solutions
• Experience working with large datasets, pipelines, modern technologies(Snowflake, Databricks), real-time and batch
• Experience with cloud technologies, such as Azure
• Experience with distributed systems, streaming systems, and data tools, such as Kubernetes, Kafka
• Design and manage data platforms, including data storage, data processing, data security

ADDITIONAL KNOWLEDGE / SKILLS:

• Understanding of the agile software development methodology (e.g. Scrum, Kanban)
• Strong experience with the distributed cluster management. Understanding of Docker/ Kubernetes container orchestration technologies.
• Able to use sound judgment and prioritize
• Must be flexible, team oriented and able to accept and create change
• Fast and capable learner. Results oriented, enthusiastic, creative thinker

• You will be responsible for designing, developing, and maintaining our data platform infrastructure
• Implement and uphold modern software design principles, ensuring best practices in CI/CD, DevOps, and infrastructure-as-code
• Collaborate with cross-functional teams, such as data engineers, software engineers, infrastructure teams, and business units to enable effective data cohesion to support business processes and analytics
• You will work closely with the application teams, data analysts, and data scientists to provide data access and enable analytics
• Enable and support self-serve data engineering solutions for both the wider data team and engineers
• Proactively ensure the security and integrity of the platform and data feeds and take part in security and privacy design reviews
• Perform application deployments acting as a gatekeeper to the production environment
• Identify areas for improvement in the data platform infrastructure and develop solutions to address them
• Experience working with large datasets, pipelines, modern warehouse technologies, and data processing (real-time and batch) at large scale
• Collaborate with other teams to ensure successful implementation of data-driven solutions
• Developing and implementing best practices for data integration, data quality, and data governance
• Keeping up-to-date with emerging technologies and trends in data engineering and healthcare technology
• Monitor system performance and troubleshoot any issues
• Ensuring the scalability, reliability, and security of the data platform
• Develop and maintain documentation related to the data platform infrastructure
• Perform incident investigation, diagnosis and provide resolution
• Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives
• Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application, ensuring compliance with them
• Demonstrating creative, critical thinking & troubleshooting skills
• Up to 10-15% travel may be required (domestic and international)