Cloud Data Solution Architect – AWS, Azure, GenAI & Microsoft Fabric Location: Toronto, ON Work Model: Hybrid (2 days per week in-person at Toronto office preferred) Experience Required: 6–8 years Required Skills Microsoft Azure ignio AIOps AI & GenAI – Products & Tools Primary Skillset AWS Azure Microsoft Fabric GenAI Modernization Role Overview Lead enterprise-scale cloud, data, and application modernization initiatives. Design scalable, secure, and business-aligned solutions using AWS, Microsoft Azure, Microsoft Fabric, and Generative AI technologies. Collaborate with business stakeholders, enterprise architects, engineering teams, and executive leadership to define transformation roadmaps, architect next-generation solutions, and drive successful delivery of cloud-native and AI-enabled platforms. Key Responsibilities Solution Architecture & Strategy Define end-to-end architecture for cloud, data, analytics, and AI transformation programs. Develop target-state architectures, modernization roadmaps, and migration strategies. Lead architecture reviews, technology evaluations, and solution governance. Ensure alignment with enterprise standards, security, compliance, and regulatory requirements. Cloud Modernization Architect and implement enterprise solutions on AWS and Microsoft Azure. Design cloud-native applications using microservices, containers, serverless, and event-driven architectures. Lead application, infrastructure, and data migration programs from on-premises platforms to cloud environments. Optimize cloud performance, scalability, resilience, security, and cost. Microsoft Fabric & Data Architecture Architect modern data platforms using Microsoft Fabric. Design Lakehouse, Data Warehouse, Real-Time Analytics, Data Engineering, and Power BI solutions. Implement enterprise data governance, metadata management, security, and data quality frameworks. Enable self-service analytics and AI-driven insights across business functions. GenAI & AI-Led Modernization Design GenAI-enabled solutions utilizing Azure OpenAI, Amazon Bedrock, Copilot, and LLM-based frameworks. Drive legacy application modernization using AI-assisted code transformation and reverse engineering approaches. Implement Retrieval-Augmented Generation (RAG), vector databases, knowledge fabric, and agentic AI architectures. Identify and deliver AI use cases that improve developer productivity, business efficiency, and customer experience. Stakeholder & Client Management Engage with C-level executives, business sponsors, and technology leadership. Translate business requirements into scalable technical solutions. Conduct workshops, architecture reviews, solution presentations, and executive briefings. Provide thought leadership on cloud, data, and AI transformation initiatives. Delivery Leadership Guide cross-functional engineering teams through architecture implementation. Mentor architects, developers, and technical leads. Support proposal development, RFP responses, estimation, and solution governance. Ensure successful execution from solution conception through deployment and operationalization. Required Technical Skills Cloud Platforms AWS (EC2, EKS, ECS, Lambda, API Gateway, Redshift, S3, Glue, Aurora, IAM). Microsoft Azure (AKS, Azure OpenAI, Synapse, Data Factory, Event Hub, Functions, Cosmos DB). Data & Analytics Microsoft Fabric. Power BI. Databricks. Azure Synapse Analytics. Data Lake and Lakehouse Architecture. ETL/ELT and Data Integration. Architecture & Engineering Microservices Architecture. API and Integration Architecture. Kubernetes and Containers. DevOps and CI/CD. Infrastructure as Code (Terraform, CloudFormation, Bicep). Security Architecture and Governance. AI & GenAI Azure OpenAI. Amazon Bedrock. Large Language Models (LLMs) and Prompt Engineering. Retrieval-Augmented Generation (RAG) Architectures. AI Agents and Agentic Frameworks. Vector Databases. Copilot Ecosystem. AI Governance and Responsible AI. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. Master's degree preferred. AWS and/or Azure certifications preferred: AWS Solutions Architect Professional. Azure Solutions Architect Expert. Microsoft Fabric Analytics Engineer. Essential Soft Skills Excellent verbal and written communication skills. Strong customer-facing consulting experience. Executive-level presentation and stakeholder management capabilities. Strong analytical and problem-solving skills. Ability to lead global, cross-functional teams. Experience working in large enterprise and BFSI environments. Preferred Industry Experience Banking and Financial Services. Insurance. Capital Markets. Enterprise Digital Transformation. Cloud and Data Modernization Programs. AI/GenAI Adoption Initiatives.