> Markdown version of [/jobs/ext/4693248-solution-architect](https://www.wearedevelopers.com/jobs/ext/4693248-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect - **Company:** ThoughtWorks - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $220,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Delivery, Continuous Integration, Data Architecture, Data Migration, Software Design Patterns, DevOps, Interoperability, Systems Integration, Trunk-based Development, Cloud Platform System, Technical Debt, Data Layers, Event Driven Architecture, Infrastructure Automation Frameworks, Data Management, Domain Driven Design, Microservices - **Published:** November 12, 2026 - **Apply:** https://startup.jobs/solution-architect-referrals-only-10740260 ## About the Role * Experience designing and delivering complex technology solutions in enterprise environments, including time in the engineering and delivery of those solutions. * Experience leading architecture and technical teams on live, billable client engagements, from kickoff through production. * Track record of leading modernization programs, such as monolith decomposition, cloud migration, platform replatforming or legacy system replacement, through to delivery. * Deep experience across cloud, data and enterprise platforms, including migrating data and integrations with minimal business disruption. * Strong grounding in modern architecture and engineering practices: domain-driven design, APIs, event-driven architecture, microservices (and when not to use them), CI/CD, automated testing and observability. * Hands-on familiarity with AWS, Azure or GCP. * Experience leading architecture for large pursuits or programs, and seeing that work through to delivery. * Ability to work at financial, strategic and technical levels, connecting business outcomes to architecture choices. * Strong executive communication: you can explain technology so C-suite stakeholders act on it. * Confidence leading cross-functional teams while balancing delivery speed with technical excellence. * Comfort moving between conceptual vision and hands-on detail. * A trusted advisor mindset: you guide clients through complexity and balance risk, cost and impact. ## Description Expect a typical split of 80% billable delivery and 20% pursuit and offering work, varying by engagement phase. You will help clients move from aging, costly and hard-to-change systems to modern platforms they can evolve with confidence. That means assessing legacy estates, defining target architectures and migration paths, and leading teams that deliver them incrementally with minimal disruption to the business. You will design for scalability, availability, security, performance, maintainability and observability so modernized systems run reliably in production. Job responsibilities 1. Delivery leadership and solution ownership * Lead the technical direction of one or more modernization engagements from mobilization through stabilization. * Guide delivery teams day to day: set technical standards, unblock engineers, review designs and code, and coach developers, tech leads and architects. * Partner with delivery managers, product leads and client stakeholders to plan scope, sequence migration waves and manage technical risk. * Stay hands-on where it matters: pair with engineers, build prototypes, resolve hard design problems and validate that the architecture works in practice. * Own the architecture roadmap during delivery, including technical debt, dependencies and trade-offs, and report progress against business outcomes. * Establish and maintain architectural guardrails, engineering practices and governance so quality holds as teams scale. * Introduce modern engineering practices into client teams: continuous delivery, test automation, infrastructure as code and trunk-based development. * Support client technical teams during cutover and handover, including operational readiness, documentation and capability building. 2. Modernization architecture and value realization * Assess legacy applications, data and infrastructure to understand dependencies, risks, cost and constraints, and recommend a modernization path for each (retire, rehost, replatform, refactor or rebuild). * Define target architectures and migration strategies that favor incremental change, such as strangler patterns, domain-driven decomposition and parallel runs, over big-bang rewrites. * Design modern application, integration and data architectures, including APIs, event-driven patterns, cloud-native platforms and data migration approaches. * Own enterprise-grade architecture that addresses scalability, availability, performance, security, maintainability, testability, interoperability and observability. * Define reference architectures and reusable patterns across application, platform and data layers. * Express architectural decisions in business outcomes such as delivery speed, run cost, reliability, risk reduction and customer experience. * Validate feasibility with proofs of concept, thin-slice migrations and prototypes before committing to a full approach. * Apply accelerators, design patterns and reusable assets to improve consistency and speed. * Bring a clear point of view on data management, governance and platforms, and on how data moves safely from legacy to modern systems. 3. Opportunity shaping and pursuit support * Work with business development and market teams to assess modernization opportunities that fit our strategic themes and industry focus. * Lead or support client discovery conversations to frame business challenges, define value hypotheses and identify where modernization removes constraints on growth, cost or speed. * Shape the technology approach, engagement vision and team model before formal proposal development. * Develop solution vision artifacts, current-state assessments, target architectures and thin-slice roadmaps. * Contribute to win themes so the solution narrative reflects business value, risk mitigation and delivery confidence. * Bring delivery experience into pursuits, so estimates, assumptions and team models reflect what we have built and run. 4. Proposal development and executive alignment * Lead the technical and architecture narrative in proposals and executive presentations. * Explain complex technical concepts to executives through architecture visuals, migration timelines and quantified value projections. * Work with finance and delivery leads so assumptions, especially on migration effort, run-cost savings and benefits timing, match the commercial model and delivery reality. * Present and defend solution approaches in executive and technical forums, balancing vision with pragmatism. 5. Practice and capability building * Run retrospectives and feed lessons from delivery back into our accelerators, reference architectures and offerings. * Work with internal teams to turn migration patterns, tooling and engineering playbooks into assets other teams can use. * Mentor architects and engineers, and contribute to hiring and community., There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Responsible Use of AI in Recruitment At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.