Senior Solution Architect - Remote Data & Health IT Leader

Commence; Phoenix (AZ); Remote; USD 150,000 - 210,000; Full time

Job summary

Commence is seeking a Sr. Solution Architect to own end-to-end technical design for health IT programs, including data-centric architectures and cloud solutions.

You will work directly with customers, translate technical visions for stakeholders, and lead hands-on implementation with delivery engineers to demonstrate business value. The role requires strong experience in federal health programs, security governance, and scalable architecture across large data systems.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field.
• Federal health program experience, including CMS, VA, or DHA.
• Minimum ten years leading architecture of complex data pipeline, cloud, or enterprise application systems.
• Six or more years of hands-on, data-centric software development experience across complex architectures, including cloud native data platforms and analytics stacks.
• Proven experience designing secure solutions involving PHI and PII and associated governance requirements.
• Working knowledge of federal compliance frameworks, including FISMA, IL4+, and CMMC.
• Experience resolving architecture issues affecting scalability and performance for large scale systems.
• Experience with rapid prototyping and greenfield builds in Agile or SAFe delivery environments.
• Experience collaborating directly with customers and internal stakeholders to present solutions and drive adoption.
• Experience with Atlassian Jira and Confluence or equivalent delivery tooling.
• Excellent verbal and written communication.
• Ability to hold a Public Trust.

Responsibilities

• Own end-to-end technical solution design for assigned programs, including data driven and enterprise information systems architecture.
• Work directly with customers to help translate technical vision to stakeholders.
• Serve as a hands-on implementer, building, configuring, and troubleshooting alongside delivery engineers.
• Lead and support customer facing proofs of concept and pilots, translating platform capability into working demonstrations of business value.
• Support technical input and solution design detail for RFIs, RFPs, and other solicitation responses, providing subject matter accuracy on assigned program areas and technical feasibility of proposed approaches.
• Validate that solutions are technically achievable within existing platform architecture and delivery constraints, working directly with technical teams to document and translate gap analysis into actionable delivery requirements.
• Own complex technology implementations on assigned programs with continuous attention to simplification, refactoring, and reducing unnecessary complexity.
• Design and implement solutions across data, data centric applications, and cloud architectures in support of federal health IT program requirements, including claims and appeals processing, quality improvement, and data exchange and interoperability.
• Align architecture and technical design decisions to Commence Platform standards.
• Partner with Technical Delivery Managers, Technical BAs, Data Architects, Security, and program leadership to ensure solution designs meet compliance, security, and delivery timelines.

Skills

End-to-end solution design

Customer collaboration

Cloud architectures

Data pipelines

Security/compliance

PHI/PII governance

Agile/SAFe

Jira/Confluence

Public Trust

Federal health program domain

Education

Bachelor's degree in CS/IS/Engineering

Tools

Atlassian Jira

Confluence

Job description

Commence is seeking a Sr. Solution Architect to own end-to-end technical design for health IT programs, including data-centric architectures and cloud solutions.

You will work directly with customers, translate technical visions for stakeholders, and lead hands-on implementation with delivery engineers to demonstrate business value. The role requires strong experience in federal health programs, security governance, and scalable architecture across large data systems.