Lead Data Platform Engineer at McKesson
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Summary
Lead Data Platform Engineer at McKesson in Winnipeg: define data platform architecture standards, lead design of scalable cloud data systems, drive platform modernization, establish DataOps/DevOps best practices, and mentor engineers. Core stack includes SQL, Python, Azure Databricks, and Snowflake.
Drive data innovation at McKesson as a Lead Data Platform Engineer. This pivotal role emphasizes designing cloud data architectures and enhancing enterprise-level analytics solutions.
As a Lead Data Platform Engineer, you will lead technical strategies and engineering standards to ensure high-quality data platforms at McKesson. Collaborating with various teams, you will oversee analytics, AI, and machine learning initiatives, while mentoring engineers and establishing best practices. This role is critical for driving modernization and maintaining operational excellence throughout the organization.
Key Responsibilities: • Define architecture standards for data platforms • Lead design of scalable cloud data systems • Drive modernization and platform transformation • Establish DataOps and DevOps best practices • Mentor engineers and promote technical excellence
Requirements: • 10+ years in Data Engineering or Cloud Engineering • Bachelor's degree in Computer Science or related field • Proficient in SQL and Python for large data • Experience with Azure Databricks and Snowflake • Strong communication skills with technical knowledge
Elevate McKesson's data capabilities through innovative platform engineering and strategic insights.
As a Lead Data Platform Engineer, you will lead technical strategies and engineering standards to ensure high-quality data platforms at McKesson. Collaborating with various teams, you will oversee analytics, AI, and machine learning initiatives, while mentoring engineers and establishing best practices. This role is critical for driving modernization and maintaining operational excellence throughout the organization.
Key Responsibilities: • Define architecture standards for data platforms • Lead design of scalable cloud data systems • Drive modernization and platform transformation • Establish DataOps and DevOps best practices • Mentor engineers and promote technical excellence
Requirements: • 10+ years in Data Engineering or Cloud Engineering • Bachelor's degree in Computer Science or related field • Proficient in SQL and Python for large data • Experience with Azure Databricks and Snowflake • Strong communication skills with technical knowledge
Elevate McKesson's data capabilities through innovative platform engineering and strategic insights.