Azure Data & AI Solutions Architect

We are seeking a highly experienced Azure Data & AI Solutions Architect to lead the design and delivery of enterprise-grade data and AI solutions on Microsoft Azure. The ideal candidate will have 8+ years of experience in Azure Cloud services, with deep expertise in building Data Lakes from scratch using Microsoft Fabric, strong skills in Power BI, and proven success in developing AI agents and knowledge bases. This is a senior role that combines technical leadership, solution architecture, and hands-on engineering to drive innovation and scalability across cloud-native enterprise systems.

· Architect, design, and build Azure Data Lakes from scratch using Microsoft Fabric.

· Lead the design and deployment of AI agents, chatbots, and intelligent automation workflows with Azure AI Studio, Cognitive Services, and Azure OpenAI.

· Develop and optimize Power BI dashboards, reports, and data models for enterprise analytics.

· Architect and deploy knowledge bases leveraging Azure Cognitive Search, Vector Databases, and RAG-based architectures.

· Collaborate with business leaders, data engineers, and data scientists to deliver end-to-end Azure Data & AI solutions.

· Design and manage ETL/ELT pipelines, real-time data ingestion, and advanced analytics workflows.

· Ensure data governance, compliance, and security across Azure workloads.

· Drive performance tuning, cost optimization, and monitoring strategies for large-scale Azure deployments.

· Stay updated on Azure Data & AI advancements and recommend strategic technology adoption.

· 8+ years of hands-on experience with Microsoft Azure Cloud services.

· Proven expertise in building Data Lakes from scratch using Microsoft Fabric.

· Strong experience in Power BI (data modeling, DAX, dashboard/report creation, performance optimization).

· Hands-on experience in AI agent development and knowledge base creation with Azure services.

· Proficiency in Python, .NET, or Node.js for AI and cloud application development.

· Solid knowledge of data modeling, governance, and security practices.

· Familiarity with Azure Data Factory, Synapse, Event Hubs, and Databricks.

· Experience with CI/CD, DevOps pipelines, Docker, and Kubernetes.

· Strong leadership, communication, and problem-solving skills.

· Experience with LLM fine-tuning and deployment using Azure OpenAI.

· Knowledge of MLOps and machine learning workflows.

· Exposure to enterprise knowledge management systems.

· Azure certifications such as DP-600 (Fabric Analytics Engineer), Azure AI Engineer Associate, Azure Solutions Architect Expert are highly desirable.