Solutions Architect (AWS, Azure, MS Fabric & GenAI)
About the role
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.
Cloud Modernization 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 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, Lakehouse Architecture ETL/ELT and Data Integration Architecture & Engineering
Microservices Architecture API and Integration Architecture Kubernetes & Containers DevOps & CI/CD Infrastructure as Code (Terraform, CloudFormation, Bicep) Security Architecture & Governance AI & GenAI
Azure OpenAI Amazon Bedrock LLMs and Prompt Engineering RAG Architectures AI Agents / Agentic Frameworks Vector Databases Copilot Ecosystem 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 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 & Financial Services Insurance Capital Markets Enterprise Digital Transformation Cloud & Data Modernization Programs AI/GenAI Adoption Initiatives
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Solutions Architect (AWS, Azure, MS Fabric & GenAI)
About the role
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.
Cloud Modernization 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 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, Lakehouse Architecture ETL/ELT and Data Integration Architecture & Engineering
Microservices Architecture API and Integration Architecture Kubernetes & Containers DevOps & CI/CD Infrastructure as Code (Terraform, CloudFormation, Bicep) Security Architecture & Governance AI & GenAI
Azure OpenAI Amazon Bedrock LLMs and Prompt Engineering RAG Architectures AI Agents / Agentic Frameworks Vector Databases Copilot Ecosystem 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 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 & Financial Services Insurance Capital Markets Enterprise Digital Transformation Cloud & Data Modernization Programs AI/GenAI Adoption Initiatives