Solutions Architect

About the role

Codal is an award-winning web design and development consultancy that helps enterprise organizations solve complex problems and accelerate growth through elegant, data-driven digital solutions. Our areas of expertise include application modernization, eCommerce, UX/UI design, product strategy, data analytics, and artificial intelligence. At Codal, you will collaborate with some of the most innovative organizations in the world and work on cutting-edge technologies that push the boundaries of design and software development. We promote long-term success, not just for our clients but for our team, helping you develop a professional roadmap that takes your career to new heights. Codal is looking for a Solution Architect who can look at a client's technology landscape, understand what's working, what isn't, and chart a credible path forward. You'll design and defend end-to-end solutions across software, systems, data, AI, and DevOps, translating ambiguous business goals into architectures that are practical to build and easy to evolve. This is a hands-on and client-facing role. You'll move between whiteboard sessions with client executives, deep technical design work, and hands-on prototyping to prove out an approach before committing a team to it. You're comfortable weighing cost, timeline, risk, and maintainability against each other, then making a recommendation and standing behind it. We expect this role to embody Codal’s principles of mindful excellence, insatiable expertise, diverse intuition, data-led curiosity, and candid leadership in how you lead technically, mentor your team, and engage with clients. You'll work alongside client stakeholders, from engineering leads to executive sponsors, as well as Codal's project managers, designers, and delivery teams. You'll be involved from early discovery and pre-sales conversations through hands-on implementation and post-launch support.

This role is open to Chicagoland residents and is not eligible for Visa sponsorship.

Responsibilities

• Assess a client's existing technology landscape (software, systems, data, and infrastructure) and rationalize the pros, cons, and risks of what's in place versus what's proposed.
• Design end-to-end solution architectures spanning application, data, AI/ML, and DevOps concerns, and document them clearly enough for both engineers and executives to act on.