Job Description

Salary: $122,100 - 162,800 per year Requirements:

• We need 10+ years of professional experience in data engineering, data platform engineering, cloud engineering, or a closely related area.
• We require a bachelors degree in computer science, engineering, information technology, or a related discipline, or an equivalent mix of education and experience.
• We look for experience designing and delivering enterprise-scale data architecture, ETL/ELT pipelines, and modern data platforms.
• We need advanced SQL and Python skills for large-scale data processing and performance tuning.
• We require hands-on experience with Azure Databricks administration, Snowflake, Azure Data Lake Storage, and Azure Data Factory.
• We look for experience implementing cloud security, governance, identity and access management, and compliance controls.
• We need a proven track record of leading complex technical initiatives and shaping architectural decisions across multiple teams.
• We require strong communication and stakeholder management skills, with the ability to explain technical concepts to varied audiences.
• We prefer familiarity with Agile delivery methods, including Scrum and Kanban.
• We prefer experience with cloud data, analytics, AI, and machine learning platforms with a strong emphasis on availability, performance, resiliency, security, scalability, observability, and cost efficiency.
• We prefer experience creating reference architectures, reusable patterns, platform guardrails, and engineering standards across Azure, Databricks, Kubernetes, networking, storage, identity, secrets management, and data services.
• We prefer experience assessing platform needs and making trade-offs across reliability, security, compliance, interoperability, operational efficiency, vendor dependency, and total cost of ownership.
• We prefer experience building secure integration patterns for AI applications, agents, enterprise data, vector search, private connectivity, content controls, approved model providers, and secrets management.
• We prefer experience implementing observability and operational excellence using OpenTelemetry, Prometheus, Grafana, cloud monitoring, centralized logging, and service-level reporting.
• We prefer experience building and maintaining Infrastructure as Code, configuration automation, and CI/CD or GitOps workflows for repeatable provisioning, deployment, testing, and lifecycle management.
• We prefer 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.
• We prefer experience with large-scale batch and real-time data platforms, distributed systems, streaming technologies, data warehouses, and databases such as Databricks, Snowflake, Kafka, Oracle, SQL Server, PostgreSQL, and MongoDB.
• We prefer experience managing enterprise data platforms and governance capabilities, including storage, processing, security, quality, lineage, and communicating technical, financial, and operational considerations to business and engineering leaders.
• An Azure Administrator certification is preferred.

• We define technical strategy and architecture standards for enterprise data platforms and engineering solutions.
• We lead the design, implementation, and optimization of scalable cloud data platforms that support analytics, AI, machine learning, and reporting workloads.
• We drive large-scale modernization, migration, and platform transformation initiatives.
• We establish best practices for DataOps, DevOps, CI/CD, Infrastructure as Code, and platform automation.
• We strengthen governance, security, compliance, access management, and data protection controls in regulated environments.
• We partner with architecture, security, product, and engineering leadership to shape platform roadmaps and technology choices.
• We lead incident response, platform reliability, monitoring, observability, and operational excellence efforts.
• We mentor engineers and promote a culture of innovation, technical excellence, and continuous improvement.

• AI
• Azure
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• GitOps
• Grafana
• Support
• Kafka
• Kanban
• Kubernetes
• Machine Learning
• MongoDB
• OpenTelemetry
• Oracle
• PostgreSQL
• Prometheus
• Python
• SQL
• Security
• Snowflake
• Architect
• Business Intelligence

More:

McKesson is an impact-driven Fortune 10 healthcare company focused on making quality care more accessible and affordable. We foster a culture where people can grow, contribute meaningful work, and bring new ideas to life as we shape the future of health for patients, communities, and our teams. This Lead Data Platform Engineer 1 role is a highly visible technical leadership position responsible for enterprise data architecture, cloud platform strategy, governance, security, and operational excellence. We offer a competitive total rewards package, including potential bonus or long-term incentive opportunities, and the base pay range for this position is $122,100 to $162,800. We are committed to equal employment opportunity and support applicants and employees, including those who may need reasonable accommodation.

last updated 40 week of 2026

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