Cloud Data Solution Architect – AWS, Azure, GenAI & Microsoft Fabric

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

• Bachelors degree in Computer Science Engineering Information Technology or a related discipline.
  
• Masters 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.