Senior IT Architect (Enterprise Applications Clinical Platforms)
Irving, TX - USA
Job Summary
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 tomorrows health today we want to hear from you.
Role Summary
Ontadais an oncology data science and technology business dedicated to transforming the fight against cancer. We specialize in real-world data and evidence generation that accelerates life science research clinical technologies that support community providers with precise care and provider engagement channels that enable education and insights.
We are hiring anIT Architect to define and drive cloud-native integration architecture acrossOntadaproducts and partner ecosystems. This role owns solution and platform architecture for API-led connectivity event-driven integration and secure data exchangeensuring our systems are scalable reliable observable and straightforward to evolve. Familiarity with healthcare interoperability standards (HL7/FHIR including SMART on FHIR) is a plus for certain partner pathways but the primary focus is strong enterprise-architecture fundamentals applied to modern cloud-native integration models.
Success in this role is measured by the clarity and adoption of your reference architectures and standards the reliability and scalability of the integration ecosystem you enable and your ability to influence decisions across multiple initiatives while mentoring and elevating engineering teams. Familiarity with AI/ML and NLP capabilities used in products (e.g. LLM-enabled workflows retrieval patterns evaluation and governance) is a plus asOntadaexpands intelligentexperiences butis not the core requirement.
Technical Environment
Cloud-Native Integration:API-led connectivity event-driven architecture pub/sub schema management idempotency retries backpressure
APIs:RESTful servicesOpenAPI/Swagger API gateways versioning and contract-first design
Messaging:Kafka (or equivalent) queues/streams event schema design
Platform Patterns:Microservices containerization (Docker) service discovery configuration management; service mesh (where applicable)
Data & Performance:Oracle and relational databases; Redis (caching); Elasticsearch; analytics/pipelines (e.g. Databricks)
Interoperability (nice to have):HL7v2 FHIR (R4) SMART on FHIR OAuth2/OIDC C-CDA
Observability:Logging metrics distributed tracing (e.g. Dynatrace)
Cloud & Platforms:Azure AWS GCP Cloud Foundry
Engineering Practices:CI/CD automated testing code reviews architecture documentation
Key Responsibilities
Architecture Leadership & Strategy
Drive architecture for interoperability and integration capabilities across systems services and product offerings.
Partner with Product Owners Sales Business Analysts Quality Assurance and Project Management to translate functional and non-functional requirements into target architectures and delivery plans.
Define architecture standards reference implementations and guardrails for APIs integration patterns security and operational readiness.
Evaluate solution options and drive alignment across stakeholders; communicate tradeoffs risks and recommendations to technical and non-technical audiences.
Providetechnical guidance to coach motivate and develop engineers and architects.
Cloud-Native Integration Architecture
Define and governintegrationreference architectures across APIs events and asynchronous workflows (request/response pub/sub choreography vs. orchestration).
Establish platform patterns and guardrails for API gateways service-to-service communication schema/version management and contract testing.
Design for resiliency and performance using proven patterns (timeouts retries circuit breakers bulkheads idempotency caching) andalignto SLOs/SLAs.
Guideevent-driven integration (e.g. Kafka or equivalent) with well-defined event schemas lifecycle management and operational controls.
Collaborate with security and platform teams to ensure secure-by-default integration approaches (OAuth2/OIDC least privilegesecretsmanagement threat modeling).
Healthcare Interoperability (Optional) & Partner Integrations
When applicable drive design for healthcare data exchange leveraging HL7v2 and/or FHIR (R4) including SMART on FHIR to enable integrations with EMRs and partner systems.
Partner with domain SMEs and external stakeholders to define interoperability expectations (security conformance and onboarding) and ensure integrations are scalable and supportable.
Define API contracts versioning strategy and error taxonomy to enable predictable integrations for internal and external consumers.
Partner with engineering teams to implement and evolve reusable integration components adapters and accelerators that reduce time-to-integrate.
Operational Excellence & Production Ownership
Collaborate with engineering in release sprint and project planning to ensure delivery commitments are tracked and met across the SDLC.
Demonstrate strong architectural ownership in production operations to address customer needs for support issue analysis enhancements and corrective actions.
Evolve software systems infrastructure and architecture to support growth SLAs availability and continued operation.
Drive operational readiness practices including observability runbooks incident response and post-incident improvements.
Resolve technical problems issues and escalations across delivery teams and project activities.
AI Enablement (Preferred)
Partner with product and engineering teams toidentifyand deliver AI-enabled capabilities from discovery and design through deployment monitoring and continuous improvement.
Guide architecture patterns for integrating model services into cloud-native systems (APIs events data pipelines) withappropriate security privacy and compliance controls.
PromoteMLOps/LLMOpspractices (versioning CI/CD automated testing observability rollback) and responsible AI governance.
Collaborate on evaluation approaches to ensure AI features are reliable and safe for production use.
Minimum Requirement
Degree or equivalent and typically requires 7 years of relevant experience.
Education
Bachelors degree in computer science Software Engineering Information Systems or equivalent practical experience.
Critical Skills
7 years of software engineering experience including 4 yearsinarchitecture (solution platform or enterprise) with ownership across multiple systems.
Strong enterprise integration architecture skills across REST APIs event-driven messaging and secure data exchange patterns.
Strong technical fundamentals in cloud-native architecture (microservices containers resiliency patterns observability) on Azure AWS or GCP.
Experience designing andoperatinglarge-scale multi-tenant services with reliability scalability and security best practices.
Ability to drive cross-functional technical decisions mentor engineers/architects and communicate clearly through documentation and design reviews.
Strong communicationand stakeholder-management skills witha track recordof influencing cross-team decisions through documentation and design reviews.
Nice tohave:familiarity with HL7/FHIR and/or willingness to learn quickly as needed for partner integrations.
Preferred Skills
Optional/nice tohave:hands-on experience with FHIR (profiles implementation guides SMART on FHIR) and/or HL7v2 including conformance and integration testing.
Experience integrating with multiple EMRs and partner ecosystems; familiarity with common healthcare workflows and data exchange constraints.
Hands-on experience with microservices frameworks (e.g.Springor equivalent) and API management practices.
Experience with messaging and integration platforms (Kafka service bus/queues stream processing) and caching technologies (e.g. Redis).
Experience with platform engineering patterns such as service mesh policy-as-code and automated architecture validation in CI/CD.
Experience with observability platforms (e.g. Dynatrace) and production operations best practices.
AI/ML product delivery experience (LLM-enabled workflows evaluation and responsible AI governance).
Experience with Elasticsearch and/or analytics platforms (e.g. Databricks).
What Success Looks Like
At 6 Months
You haveestablishedand socialized a target-state cloud-native integration architecture with clear standards for APIs events resiliency and security.
You have delivered at least one end-to-end initiative (design through production) for a key integration capability (e.g. event streaming API modernization partner onboarding accelerator).
Teams are adopting your reference patterns and documentation with reduced integration friction and faster delivery.
You are actively supporting production operations through improved observability incident learnings and reliability improvements.
At 12 Months
You own and continuously improve the integration architecture across multiple products and partner pathways with measurable gains in reliability scalability and onboarding speed.
You have matured governance forintegrationassets (API standards event schemas implementation guides where applicable and conformance testing) and created a repeatable delivery playbook across the SDLC.
You are a trusted technical leader influencing roadmaps investment decisions and cross-team alignment.
You have helped teams incorporate intelligent capabilities responsibly (where applicable) through clear evaluation monitoring and risk controls.
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 McKessons 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 pleaseclick here.
Our Base Pay Range for this position
$133100 - $221900McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media light of these scams please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
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McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.
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Join us at McKesson!
Required Experience:
Senior IC
About Company
McKesson is the leading healthcare company for wholesale medical supplies & equipment, pharmaceutical distribution, and healthcare technology solutions. McKesson is the central nervous system of health care. At any given moment, in any given minute, we simultaneously execute thousands ... View more