Description

McKesson is hiring a Lead Data Platform Engineer to define and lead enterprise data architecture, scalable cloud data platforms, governance, security, reliability, and operational excellence. The role partners with architecture, security, product, and engineering leadership; mentors engineers; and drives modernization, migration, DataOps, DevOps, CI/CD, infrastructure automation, and observability initiatives. Candidates need 10+ years of relevant experience, a bachelor's degree or equivalent education and experience, and hands-on expertise with SQL, Python, Azure Databricks, Snowflake, Azure Data Lake Storage, and Azure Data Factory, among other technologies.

Required Skills

Data architecture
SQL
Python
Azure Databricks
Snowflake
Azure Data Lake Storage
Azure Data Factory
DataOps
DevOps
CI/CD
Infrastructure as Code
Observability
Cloud security
Stakeholder management

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent combination of education and experience.
Required Previous Experiences: 10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
Experience designing and implementing enterprise-scale data architecture, ETL/ELT pipelines, and modern data platforms.
Hands-on experience with Azure Databricks administration, Snowflake, Azure Data Lake Storage, and Azure Data Factory.
Experience implementing cloud security, governance, identity and access management, and compliance controls.
Experience leading complex technical initiatives and influencing architectural decisions across multiple teams.
Preferred Qualifications: Understanding of Agile software development methodologies, including Scrum and Kanban.
Experience developing reference architectures, reusable patterns, platform guardrails, and engineering standards across Azure, Databricks, Kubernetes, networking, storage, identity, secrets management, and data services.
Experience evaluating platform requirements and making architectural trade-offs across reliability, security, compliance, interoperability, operational efficiency, vendor dependency, and total cost of ownership.
Experience establishing secure integration patterns for AI applications, agents, enterprise data, vector search, private connectivity, content controls, approved model providers, and secrets management.
Experience implementing observability and operational excellence using OpenTelemetry, Prometheus, Grafana, cloud monitoring, centralized logging, and service-level reporting.
Experience building and maintaining Infrastructure-as-Code, configuration automation, and CI/CD or GitOps workflows for repeatable platform provisioning, deployment, testing, and lifecycle management.
Experience applying security-by-design, zero-trust, least-privilege, and defense-in-depth principles across identity, access management, networking, encryption, data protection, platform administration, and AI services.
Experience working with large-scale batch and real-time data platforms, distributed systems, streaming technologies, data warehouses, and databases, including Databricks, Snowflake, Kafka, Oracle, SQL Server, PostgreSQL, and MongoDB.
Experience managing enterprise data platforms and governance capabilities, including data storage, processing, security, quality, lineage, and communicating technical, financial, and operational considerations to business and engineering leaders.
Azure Administrator Certification

About Mckesson

Mckesson

healthcare

The leading healthcare company for wholesale medical supplies & equipment, pharmaceutical distribution, and healthcare technology solutions.

Customers and case studies

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Fulmer U-Save Pharmacy
Towncrest Pharmacy
Bartle’s Pharmacy

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Lead Data Platform Engineer 1 at Mckesson

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