The Sr. 1.

Business

Outcome-Led Architecture Engage executives to understand business priorities, establish baseline performance and define measurable outcomes and success criteria that guide architecture and investment decisions. Translate business requirements into actionable solution architecture, applying financial-services workflow, data and risk fluency to the customer's operating context before recommending products or platforms. Challenge assumptions, frame ambiguous problems and make explicit cost, reliability and speed tradeoffs.

Decide with incomplete data, control scope and say no when a proposed approach, including AI, is not justified. Develop clear, decision-oriented proposals for executive audiences that explain options, dependencies, risks and the recommended path in terms of business outcomes. Establish and execute an AI Usage Plan for each significant engagement as a practical operating plan, not a paperwork exercise.

Deliver the smallest viable working slice early, use demos and customer validation to test assumptions, and iterate on evidence. Ensure that critical design choices are validated in working artifacts. Collaborate with specialists, product teams and customer engineers to resolve complex technical issues, apply the right expertise and transfer capability without losing end-to-end architectural accountability.

Deliver

Business and Operational Excellence, including adoption, realized value and customer capability transfer. Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 10 years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12 years experience in technology solutions, practice development, architecture, consulting,



and/or technology domain (e.g., Security) OR equivalent experience. 4 years managing multiple, complex projects or portfolios. 2 years experience leading blended, multidisciplinary teams. Data & AI Azure Data Platform (Azure Synapse, Fabric, Data Factory, Databricks) AI & Machine Learning (Azure OpenAI, Azure AI Studio, Cognitive Services, MLOps) Big Data architectures (Lambda, Kappa), Enterprise Data Warehouse, Advanced Analytics Application Development Contemporary application architecture, microservices, API-first design DevOps, CI/CD pipelines, GitHub Advanced Security, container platforms App modernization, .NET, Java, and open-source software stacks Cloud Infrastructure Azure IaaS and PaaS services, subscription design, network architecture Identity and Access Management (Azure AD, Entra), security architecture Private/Hybrid/Public cloud configurations, migrations, and governance Security Security reviews, threat modeling, Zero Trust architecture Credential theft mitigation, compliance, and regulatory considerations in Canada Demonstrated ability to lead solution delivery as the Lead Architect on complex, multi-team engagements.

AI literacy — actively using AI tooling in day-to-day architecture and delivery work.

Experience writing and executing AI usage plans or equivalent AI integration strategies for customer engagements. Ability to execute recognized Software Architecture methods, processes, and tools.

Experience applying engineering-grade practices: architecture review boards, design patterns, quality gates, test automation. Ability to give compelling presentations to executive audiences, linking technical decisions to business outcomes. Proven ability to build and sustain trusted relationships at the executive level (C-suite, VP, and Board) — engaging as a peer, not just a vendor, and maintaining those relationships across the full engagement lifecycle.

📌 Senior Solution Architect - Financial Services (Toronto)
🏢 Microsoft
📍 Toronto