Hybrid (2 days per week in-person at Toronto office preferred)

Required Skills: Digital : Microsoft Azure~Data Analytics & Insights : ignio AIOps~AI & Gen AI - Products & Tools

Years Experience: 6-8

Primary SkillSet: AWS, Azure, Microsoft Fabric & GenAI Modernization

Role Descriptions:

Role Overview

We are seeking an experienced Solution Architect to lead enterprise-scale cloud, data, and application modernization initiatives. The ideal candidate will possess deep expertise in AWS, Microsoft Azure, Microsoft Fabric, and Generative AI technologies, with a proven track record of designing scalable, secure, and business-aligned solutions.

The candidate will 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.
- Architect and implement enterprise solutions on AWS and Microsoft Azure.
- Design cloud-native applications leveraging microservices, containers, serverless, and event-driven architectures.
- Lead application, infrastructure, and data migration programs from on-premise platforms to cloud environments.




- Optimize cloud performance, scalability, resilience, security, and cost.

Microsoft Fabric & Data Architecture

- 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

- AWS (EC2, EKS, ECS, Lambda, API Gateway, Redshift, S3, Glue, Aurora, IAM)
- Data & Analytics
- Microsoft Fabric
- Power BI
- Databricks
- Data Lake, Lakehouse Architecture
- ETL/ELT and Data Integration
- Architecture & Engineering
- API and Integration Architecture
- DevOps & CI/CD
- Infrastructure as Code (Terraform, CloudFormation, Bicep)
- Security Architecture & Governance
- AI & GenAI
- Amazon Bedrock
- LLMs and Prompt Engineering
- AI Agents / Agentic Frameworks
- Vector Databases
- AI Governance & Responsible AI

Required Qualifications

- Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
- Master's degree preferred.
- AWS and/or Azure certifications preferred:
- AWS Solutions Architect Qualified
- Azure Solutions Architect Expert
- Microsoft Fabric Analytics Engineer
- 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.

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📌 Solutions Architect (Toronto)
🏢 TEKGENCE
📍 Toronto