As a platform architect, you'll be the senior individual contributor responsible for the platform's end-to-end coherence and cohesiveness. This is a hands-on technical authority role, not a management role: you'll lead through architecture, code, and documentation, and influence rather than through direct reports. Over time, we expect this person to become the technical anchor of a platform team.
ImpactUnified platform architecture. You'll define the architectural patterns and shared foundations that enable the front end, back end, data pipelines, and AI agent layers to evolve together rather than diverge.
Faster, safer delivery. Clear standards and reusable enablers reduce rework, shorten the path from idea to production, and make compliance and security the default.
Connective tissue for financial interoperability. Arbital's core thesis is to connect fragmented healthcare data infrastructure to the financial decisions that VBC organizations need to make in a timely manner. Sound cross-layer architecture is what makes that promise real and reliable at scale.
Raising the bar. You'll lift the architectural thinking of strong application, data, and AI engineers across the org, seeding the discipline that a future platform team will be built around.
Own the end-to-end architecture vision across the front end, back end, data pipelines, and AI agent harness, and keep the layers coherent as they grow
Establish patterns, standards, and shared enablers (libraries, services, conventions) that break down silos and enable teams to build consistently
Work hands-on alongside the front-end and back-end teams, contributing code, reviews, and design leadership
Drive sound distributed systems and event-driven design where it fits, with reliability, observability, and security treated as first-class concerns
Architect the AI agent harness to interact with PHI and other sensitive data in a governed, auditable, HIPAA-compliant manner
Partner with data engineers, data scientists, and actuaries on our AWS and Databricks stack to align data pipeline architecture with the analytics and decision-support layers above it
Work with Product Management to ensure that PRDs have sufficient detail to be translated into technical designs
Produce clear, actionable architecture documentation that teams can confidently build from
Rapidly understand existing codebases, surface technical debt, and chart pragmatic paths to pay it down
Mentor engineers and data engineers toward stronger architectural thinking, building the foundation for a future platform team
10+ years building and shipping production software, with a generalist, full-stack range
A demonstrated track record of owning architecture across multiple layers of a system, not just within a single component
Deep foundation in back-end and service development, plus enough front-end depth (modern frameworks) to lead and contribute there
Strong distributed systems and event-driven architecture experience (e.g., Kafka or comparable)
Experience architecting data pipelines, ideally on cloud data platforms; familiarity with Databricks/Spark is a plus
Security and observability are treated as design fundamentals, not bolt-ons
Excellent written communication — the ability to turn complexity into documentation that teams can act on
A history of mentoring engineers and driving cross-team initiatives end-to-end through influence rather than authority
A pragmatic, execution-grounded approach to architecture
Experience with healthcare or other regulated data environments (HIPAA, PHI)
Domain knowledge in value-based care, payer, actuarial, or claims data
Skills Required
- 10+ years building and shipping production software with a generalist, full-stack range
- Proven track record owning architecture across multiple system layers
- Deep foundation in backend and service development plus sufficient front-end framework experience
- Strong distributed systems and event-driven architecture experience (e.g., Kafka or comparable)
- Experience architecting data pipelines on cloud data platforms
- Familiarity with Databricks and Spark
- Security and observability treated as design fundamentals
- Excellent written communication and architecture documentation skills
- History of mentoring engineers and driving cross-team initiatives by influence
- Experience with healthcare or other regulated data environments (HIPAA, PHI)
- Domain knowledge in value-based care, payer, actuarial, or claims data
- Pragmatic, execution-grounded approach to architecture
What We Do
Arbital Health’s vision is to become the neutral 3rd party adjudicator of outcomes based contracts, unlocking and accelerating the $1 trillion shift to Value-Based Care in the U.S. healthcare system. We aspire to be the trusted umpire adjudicating every outcome-based contract in healthcare, whether contracts are between life sciences companies and payers, payers and providers, or employers and digital health companies. We will make it simple to adjudicate contracts and unlock the trillion dollar shift to value-based care in America. In doing so, we will help to solve healthcare’s biggest problem.
