Solutions Architect (Enterprise Applications)
HybridSaint-Laurent, Quebec, Canada
Job Summary
Translate business needs into solution options and end-to-end architectures, including context, component, integration, and data flow diagrams, technical trade-offs, and architectural decisions. Assess proposed changes across applications, integrations, reports, and data flows to identify dependencies, risks, and key trade-offs such as configuration versus customization. Design and review application and integration solutions using APIs, middleware, messaging, ETL/ELT, ERP-connected applications, or integration platforms, with attention to security, reliability, monitoring, versioning, and maintainability. Collaborate across Enterprise Applications, IT, PMO, vendors, and business stakeholders to translate designs into implementable solutions and provide guidance through design reviews. Remain hands-on to build prototypes, proofs of concept, and support troubleshooting of complex implementation issues. Promote effective use of AI and automation tools by developing practical standards and best practices. Create and maintain architecture diagrams, integration maps, data flow documentation, and decision records.
Required Qualifications
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- 8+ years of experience in solution design, application architecture, software development, integration architecture, or a related technical role
- Experience designing solutions across custom applications, APIs, integrations, ERP-connected environments, SQL databases, data integrations, .NET environments, and reporting/BI ecosystems
- Strong knowledge of integration concepts, including RESTful APIs, data mapping, authentication, messaging or event-driven patterns, reliability, monitoring, and API versioning
- Strong communication, documentation, and collaboration skills, with the ability to work effectively across business and technical teams, vendors, and system integrators
Desired Qualifications
- Ability to leverage AI and automation tools to improve productivity, accelerate deliverables, reduce manual effort, and support the development of team best practices for AI-assisted solution design, documentation, analysis, and delivery
- Exposure to cloud-hosted applications and modern deployment approaches, such as containers or Kubernetes
- Experience working in ERP-connected environments supporting manufacturing, distribution, supply chain, or similar business operations
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