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McKesson

Director, Data Platform Engineering

Job Posted 5 Days Ago Posted 5 Days Ago
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In-Office or Remote
2 Locations
150K-249K Annually
Senior level
In-Office or Remote
2 Locations
150K-249K Annually
Senior level
Lead the data platform engineering strategy, overseeing multi-cloud architecture, platform modernization, and team management to enhance data processes.
The summary above was generated by AI

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.

Position Summary -

We are seeking the candidate who can perform technical planning, system integration, verification and validation, evaluates alternatives including cost and risk, supportability and analyses for total systems. 

Key Responsibilities

Strategic Platform Leadership

  • Define and execute comprehensive data platform strategy encompassing multi-cloud architecture, data integration, and enterprise data management
  • Partner with executives and business stakeholders to align platform capabilities with strategic business objectives and digital transformation initiatives
  • Drive platform modernization roadmap balancing innovation, cost optimization, and operational excellence across hybrid cloud environments
  • Establish enterprise data platform governance, standards, and architectural principles for Fortune 10 scale operations

Multi-Cloud Platform Architecture

  • Architect and oversee enterprise data platforms across Microsoft Azure (Synapse, Data Factory, Data Lake)
  • Lead Databricks platform optimization for advanced analytics, machine learning, and real-time data processing at petabyte scale
  • Optimize Snowflake data warehouse performance, cost management, and enterprise integration capabilities
  • Harmonize data platforms and lead the migration to cloud initiative to modernize data platforms landscape.
  • Design resilient multi-cloud data strategies ensuring business continuity, disaster recovery, and optimal resource utilization

Data Integration & Management Excellence

  • Oversee IBM DataStage operations for complex ETL/ELT processing and enterprise data transformation workflows
  • Manage IBM Change Data Capture (CDC) infrastructure for real-time data replication and streaming capabilities
  • Lead IBM Master Data Management (MDM) platform ensuring data quality, consistency, and enterprise-wide data governance
  • Optimize Matillion cloud-native data integration platform for modern analytics workflows
  • Supervise Qlik Replicate operations for high-performance data replication and synchronization across enterprise systems

Organizational & Operational Leadership

  • Build and lead high-performing team of 30+ platform engineers, architects, and technical specialists across multiple technology domains
  • Establish platform engineering excellence through DevOps practices, automation, and continuous integration/deployment capabilities
  • Drive cost optimization initiatives across multi-cloud environments achieving 15-20% annual efficiency improvements
  • Implement comprehensive monitoring, observability, and incident response frameworks for mission-critical platform operations

Innovation & Technology Strategy

  • Evaluate and integrate emerging data platform technologies to maintain competitive advantage and operational efficiency
  • Lead proof-of-concept initiatives for next-generation data platforms, real-time analytics, and AI/ML infrastructure, working collaboratively with Data Science/AI/ML teams
  • Collaborate with Data Science, Analytics, and Engineering teams to enable advanced use cases and platform capabilities
  • Drive technology partnerships and vendor relationships to optimize platform performance and total cost of ownership

Minimum Qualifications

Degree or equivalent experience. Typically has 12+ years of professional experience and 4+ years management experience.

Critical Skills

  • Deep expertise in Microsoft Azure data services (Synapse Analytics, Data Factory, Data Lake Storage, Event Hubs, Cosmos DB)
  • Experience leading platform engineering teams of 25+ professionals across multiple technology domains and geographic locations
  • Advanced proficiency with Databricks platform including Delta Lake, MLflow, cluster optimization, and enterprise security
  • Extensive experience with Snowflake architecture, performance tuning, cost optimization, and enterprise integration
  • Expert-level knowledge of IBM DataStage development, administration, and performance optimization for enterprise ETL operations
  • Strong background in IBM CDC implementation, real-time streaming, and change data capture architectures
  • Proven experience with IBM MDM platform design, data quality management, and enterprise data governance
  • Advanced proficiency with Matillion platform for cloud-native data integration and transformation workflows
  • Extensive experience with Qlik Replicate for high-performance data replication and real-time synchronization

Additional Skills

  • Experience with P&L responsibility, technology budget management ($25M+), and ROI optimization for enterprise platforms
  • Strong understanding of enterprise data governance, regulatory compliance, and data privacy requirements across multiple industries
  • Proven ability to present complex technical strategies to board-level executives and drive organizational consensus

Preferred Qualifications

  • Advanced degree in Computer Science, Data Engineering, or related technical discipline
  • Atleast one or more of Professional certifications across multiple platforms: Azure Solutions Architect Expert, Databricks Professional, Snowflake SnowPro Advanced, IBM Certified Professional
  • Experience in highly regulated industries (financial services, healthcare, manufacturing) with complex compliance requirements
  • Familiarity with enterprise AI/ML platform development and production deployment at scale
  • Previous experience at Fortune 50 companies managing similar technology complexity and organizational scale
  • International experience managing global platform operations across multiple regions and regulatory environments

Leadership Competencies

  • Strategic thinking with ability to balance long-term vision with operational excellence
  • Change management expertise for large-scale technology transformations
  • Strong communication and stakeholder management skills across technical and business audiences
  • Talent development focus with proven track record of building high-performing technical organizations
  • Innovation mindset with ability to drive platform evolution while maintaining operational stability

Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$149,600 - $249,400

McKesson is an Equal Opportunity Employer

 

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

 

Join us at McKesson!

Top Skills

Databricks
Ibm Change Data Capture
Ibm Datastage
Ibm Master Data Management
Matillion
Azure
Qlik Replicate
Snowflake

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