[Hiring] Senior IT Architect @McKesson

Role Description

Ontada is 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 an IT Architect to define and drive cloud-native integration architecture across Ontada products and partner ecosystems. This role owns solution and platform architecture for API-led connectivity, event-driven integration, and secure data exchange—ensuring 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.
• Success in this role is measured by the clarity and adoption of your reference architectures and standards.
• Reliability and scalability of the integration ecosystem you enable.
• Ability to influence decisions across multiple initiatives while mentoring and elevating engineering teams.
• Familiarity with AI/ML and NLP capabilities used in products is a plus as Ontada expands intelligent experiences.

Qualifications

• Bachelor’s degree in computer science, Software Engineering, Information Systems, or equivalent practical experience.
• 7+ years of software engineering experience, including 4+ years in architecture (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 and operating large-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 communication and stakeholder-management skills, with a track record of influencing cross-team decisions through documentation and design reviews.

Requirements

• 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.
• Provide technical guidance to coach, motivate, and develop engineers and architects.
• Define and govern integration reference architectures across APIs, events, and asynchronous workflows.
• 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 and align to SLOs/SLAs.
• Collaborate with security and platform teams to ensure secure-by-default integration approaches.
• When applicable, drive design for healthcare data exchange leveraging HL7v2 and/or FHIR (R4+).
• Partner with domain SMEs and external stakeholders to define interoperability expectations.
• Define API contracts, versioning strategy, and error taxonomy to enable predictable integrations.
• 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.
• 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.
• Partner with product and engineering teams to identify and deliver AI-enabled capabilities.
• Guide architecture patterns for integrating model services into cloud-native systems.
• Promote MLOps/LLMOps practices and responsible AI governance.

Benefits

• Competitive compensation package.
• Annual bonus or long-term incentive opportunities may be offered.
• Pay range: $133,100 - $221,900.