Azure Data and AI Solutions Architect

Job Title: Azure Data & AI Solutions Architect

Position Overview

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.

Key Responsibilities

• 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.

Required Skills & Qualifications

• 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.Role & responsibilities

Preferred candidate profile