Lead architecture design for Azure-based cloud solutions, APIs, microservices, event-driven systems, and enterprise applications.
Partner with engineering teams to establish cloud-native architecture patterns, platform engineering standards, and Kubernetes adoption strategies.
Drive API-first and composable architecture approaches that improve scalability, flexibility, and business agility.
Architect customer experience solutions leveraging Salesforce, commerce platforms, contact center technologies, and digital experience ecosystems.
Guide integration of AI/ML and Generative AI capabilities into enterprise products, workflows, and customer experiences.
Establish security-by-design practices including identity management, Zero Trust principles, governance, and compliance controls.
Mentor architects and engineering leaders while influencing technical decisions across multiple initiatives and business domains.
Basic Requirements
10+ years of experience in software engineering, solution architecture, enterprise architecture, or cloud architecture roles.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; equivalent experience considered.
Experience designing and implementing enterprise-scale cloud solutions on Microsoft Azure.
Experience building API-driven, microservices-based, and event-driven architectures in large-scale environments.
Experience leading architecture for customer-facing digital platforms, enterprise applications, and integration ecosystems.
Proven experience establishing architecture standards, governance processes, and technology roadmaps.
Strong understanding of security architecture, identity and access management, resiliency, and compliance requirements.
Demonstrated ability to communicate architecture strategy and technical decisions to both technical and executive audiences.
Preferred Skills/Experience
Azure Solutions Architect Expert or comparable cloud certification.
Experience with Kubernetes, container platforms, platform engineering, Infrastructure as Code, and cloud automation.
Expertise in DevSecOps, CI/CD pipelines, observability, reliability engineering, and operational excellence.
Experience with Salesforce, digital experience platforms, commerce solutions, and contact center technologies.
Knowledge of data architecture, analytics engineering, search platforms, and data-driven decision frameworks.
Experience designing AI/ML, Generative AI, intelligent automation, and agentic architecture solutions.
Knowledge of TOGAF, C4 modeling, enterprise architecture frameworks, and architectural governance.
Experience leading large transformation programs across multiple business domains and technology portfolios.
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.
Our Base Pay Range for this position
€82,500 - €137,500
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