We have a client in Chicago searching for a Solution Architect. This opportunity will be hybrid, and the client is located in downtown Chicago. The Solution Architect will own the technical vision and high-level solution design for complex data, AI, and digital engineering engagements. This is a senior, client-facing role responsible for translating business requirements into scalable, production-ready architectures and guiding engineering teams through implementation. This role requires a self-starter with deep technical breadth across data platforms, cloud infrastructure, and enterprise systems; the ability to lead solution design conversations with both business and technology stakeholders; and the consulting maturity to serve as a trusted technical advisor to clients. This is a permanent salaried opportunity. Heavily remote based, with 1-2 days in office per month.
β Lead solution design and architecture for data platforms, analytics systems, AI/ML pipelines, and enterprise applications
β Define high-level technical architecture including system integration patterns, data flow designs, and platform selection decisions
β Translate business requirements into technical solution blueprints that are scalable, secure, and production-ready
β Evaluate build vs. buy decisions and recommend technology stacks aligned with client objectives and capabilities
β Conduct current-state assessments and design future-state technology roadmaps for client environments
β Define data architecture standards, governance frameworks, and best practices for data platform implementations
β Guide teams on Databricks, cloud platform (Azure, AWS, Google Cloud Platform), and data engineering design decisions
β Review and validate technical designs produced by engineering teams to ensure architectural integrity
β Produce solution architecture artifacts including system context diagrams, data flow models, and integration blueprints
β Lead discovery workshops, requirements sessions, and solution design presentations with business and technology stakeholders
β Communicate architectural decisions and technical tradeoffs to executive sponsors and steering committees
β Identify technical risks early and define mitigation strategies in collaboration with delivery teams
β Mentor engineers and data architects on design patterns, best practices, and standards
β Contribute to intellectual property by developing reusable solution frameworks, templates, and accelerators
β Support pre-sales and proposal efforts by contributing to technical scoping, estimates, and solution narratives
β Represent firm at client sites, industry events, and partner engagements as a subject matter expert Location: Chicago
Must-Have Skills
β 8 to 12 years of experience in solution architecture, technical consulting, or senior engineering roles with at least 3 years leading architecture for complex engagements
β Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud Platform) in an architecture or engineering capacity
β Ability to create solution architecture artifacts (system diagrams, data flow models, integration blueprints)
β Strong understanding of data platform architecture including data warehouses, lakehouses, ETL/ELT pipelines, and streaming systems
β Experience with Databricks and MSSQL data querying skills
β Experience defining system integration patterns and API design for enterprise environments
β Strong business acumen with the ability to connect technical solutions to client ROI and business outcomes
β Client-centric focus with strong relationship skills and the ability to influence technical decisions
β Excellent client presence with experience presenting to C-level and VP-level stakeholders
β Excellent verbal and written communication skills
β Bachelor’s in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience)