Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.
About Capitalize Analytics
Capitalize Consulting is an analytics consulting firm that helps clients turn data into decisions — designing and delivering data platforms, reporting ecosystems, and advanced analytics solutions across industries. We work directly alongside client stakeholders, from business sponsors to technical teams, to translate ambiguous business problems into architected, scalable solutions.
We are looking for a Solution Architect to lead the design of end-to-end analytics and data solutions for our clients while managing a team that builds them. This is a client-facing role: you will lead discovery and requirements sessions, translate business objectives into technical architecture, and guide delivery teams through implementation. You’ll operate as the technical anchor on engagements, trusted by clients and internal teams to make sound, defensible architecture decisions under real-world constraints of timeline, budget, and legacy systems.
The role
- Design end-to-end solution architectures spanning data ingestion, modeling, warehousing, transformation, and reporting/visualization layers
- Produce architecture diagrams, technical design documents, and solution roadmaps that are clear to both technical and non-technical stakeholders
- Partner with project managers and engagement leads by serving as the primary technical point of contact for client stakeholders throughout the engagement lifecycle
- Guide and review the work of data engineers, analysts, and BI developers to ensure solutions are built to the architected design and to firm quality standards
- Contribute to internal capability building: reusable frameworks, accelerators, and architecture standards that improve delivery speed and consistency across engagements
- Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses
- Directly manage a team including staffing, workload balancing, and day-to-day performance management, while mentoring them on architecture best practices and client delivery standards
Qualifications
- 7+ years of experience designing and delivering end-to-end data and analytics solutions, from source systems through to reporting and consumption layers
- Hands-on experience in at least one major cloud data platform (e.g., Snowflake, Databricks, AWS, Azure, or GCP)
- Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses.
- Strong SQL skills and working knowledge of data modeling approaches (dimensional modeling, data vault, or similar)
- Bachelor's or master’s degree in computer science, Information Systems, or a related field, or equivalent experience
- Willingness to travel to client sites as engagements require
Candidates must be legally authorized to work in the United States without sponsorship
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead Salesforce strategy and architecture for lead-to-cash and service-to-retention workflows. Design scalable end-to-end solutions, enforce governance and DevOps, build AI-ready data architectures (Agentforce/Einstein), optimize performance, manage integrations and data migrations, and document designs while advising stakeholders and minimizing custom code.
Top Skills:
AgentforceApexData MigrationDevOpsEinstein Copilot/AgentsExperience CloudLwcManaged PackagesMiddlewareRest ApiSales CloudSalesforceSalesforce CpqSalesforce FlowSalesforce ShieldService CloudSoap ApiWorkato
Information Technology • Security • Cybersecurity
Lead capture, business development, and technical solutioning for Secure Platforms targeting DoW and IC customers. Build CSP relationships (AWS, Oracle, Microsoft, Google), drive proposals and pipeline growth, oversee program execution, manage budgets/EAC/ETC, liaise with COTRs, and recruit/mentor leadership.
Top Skills:
AWSGoogleMicrosoftOracleSalesforce
Big Data • Cloud • Hardware • Software • App development
Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.
Top Skills:
Agentic Ai ToolsAi Coding AssistantsAmazon BedrockApache NifiAWSAws GlueAzureAzure Ai FoundryAzure Event HubData LakehouseData MeshDatabricksEltETLFinopsFlinkGCPInformaticaKafkaKinesisMedallion ArchitectureMicrosoft FabricRagSagemakerSnowflakeVertex Ai
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
