Azure Solution Architect

We are looking for a highly skilled and experienced Azure Solution Architect to lead the design, architecture, and delivery of enterprise-scale Data, Analytics, Cloud-Native, and Generative AI solutions on Microsoft Azure. The ideal candidate will possess deep expertise in Azure Data Services, Modern Data Platforms, Microservices Architecture, DevOps, and AI/GenAI technologies.

The role requires collaborating with business stakeholders, product owners, engineering teams, and enterprise architects to define scalable, secure, and high-performing cloud solutions while driving modernization and innovation initiatives.

Required Qualifications

• Bachelor''s or Master''s degree in Computer Science, Engineering, Information Technology, or related field.
• 12+ years of overall IT experience.
• 5+ years of Azure Architecture experience.
• Strong experience designing enterprise-scale cloud and data solutions.
• Hands-on experience with Azure Data, Analytics, and AI services.
• Proven experience leading architecture and implementation teams

Key Responsibilities

Architecture & Solution Design

• Design end-to-end cloud architectures leveraging Azure PaaS, Data, Analytics, and AI services.
• Define architecture standards, governance frameworks, and best practices.
• Lead technical solution discussions, architecture reviews, and design workshops.
• Develop High-Level Design (HLD) and Low-Level Design (LLD) documents.
• Ensure solutions meet scalability, security, availability, performance, and cost optimization requirements.

Data & Analytics Architecture

• Architect enterprise data platforms and modern data lakehouse solutions.
• Design and implement data ingestion, transformation, and orchestration frameworks using Azure Data Factory (ADF).
• Build scalable big data processing solutions using Azure Databricks.
• Design data warehouse and analytics solutions using Azure Synapse Analytics.
• Create data models and storage strategies using Azure SQL Database and Azure Cosmos DB.
• Establish data governance, lineage, security, and quality frameworks.

  AI & Generative AI Solutions

  • Design enterprise Generative AI solutions using Azure OpenAI Service.
  • Architect Retrieval-Augmented Generation (RAG) platforms for knowledge-driven applications.
  • Implement Vector Search solutions using Azure AI Search and vector databases.
  • Design AI-powered chatbots, virtual assistants, document intelligence, and semantic search platforms.
  • Establish AI governance, security, prompt engineering, and responsible AI practices.

  Cloud-Native Application Architecture

  • Design and implement microservices and event-driven architectures.
  • Architect solutions using Azure App Services, Azure Functions, API Management, and Azure Kubernetes Service (AKS).
  • Define integration patterns using Service Bus, Event Grid, and Logic Apps.
  • Build highly available, fault-tolerant, and resilient cloud applications