Principal Solutions Architect

Role overview The Principal Solutions Architect leads technology discovery and solution design for complex client transformation work. The role connects business goals to practical architectures across applications, data, cloud, integration, and enterprise technology, then guides teams through technical decisions and delivery challenges. It also contributes to proposals, reusable consulting assets, and evaluation of emerging technologies where they can create business value.

Responsibilities - Lead current-state assessments, requirements discovery, target-state design, gap analysis, and implementation roadmaps. - Design end-to-end architectures across applications, data platforms, cloud services, integrations, and operating models. - Advise on technology choices and implementation approaches, considering scalability, security, cost, and risk. - Translate complex requirements into clear recommendations for technical and executive stakeholders; guide data architecture and management strategy. - Act as a senior escalation point, mentor technical teams, and coordinate across engineering, data, product, and business functions. - Build proofs of concept when needed, assess emerging technologies including AI, and contribute to proposals, estimates, statements of work, and reusable standards.

Requirements - At least 10 years in solution or enterprise architecture, software engineering, technology consulting, or a related technical discipline. - Significant client-facing experience in consulting, professional services, systems integration, or technology delivery. - Track record designing and delivering solutions in complex enterprise environments, with broad knowledge of application, data, cloud, integration, and technology operating models. - Experience with Azure, AWS, or GCP, including deep expertise in at least one platform. - Strong background in data platforms, databases, modeling, integration, and management. - Familiarity with modern delivery practices such as APIs, CI/CD, infrastructure as code, containers, monitoring, and observability. - Demonstrated technical leadership, analytical and communication skills, executive presentation ability, and commercial awareness. - Bachelor's degree in a related field or equivalent discipline; willingness to travel up to 80%.

Nice to have - Advanced degree or exposure to AI, machine learning, generative AI, or other emerging technologies.

Benefits and work setup The listing describes annual profit sharing, retirement plan matching, 25 days of accrued paid time off, supplemented medical, dental, and vision coverage, and reimbursement for commuting, mobile phone, and home internet costs. It also mentions team training and retreats, certification or training support, and up to five paid training days. Travel may reach 80%.