Job Summary

We are seeking an experienced Azure Data & AI Architect to design and deliver modern data platforms and AI-driven solutions. You will work closely with business stakeholders, data engineers, and development teams to build scalable architectures that support analytics, machine learning, and enterprise AI use cases. This role requires strong technical expertise, architectural thinking, and the ability to translate complex business needs into practical, high-performance solutions.  

Key Responsibilities

• Design and implement end-to-end data and AI architecture using Azure services including data storage, processing, and analytics layers

   

• Define and build scalable data pipelines to support real-time and batch data processing requirements

   

• Architect machine learning and AI solutions aligned with business use cases and operational goals

   

• Collaborate with stakeholders to identify opportunities for AI-driven automation and predictive analytics

   

• Ensure data platform performance, scalability, reliability, and security across environments

   

• Establish data governance, compliance, and security standards across data and AI solutions

   

• Guide engineering teams on architecture, design patterns, and implementation best practices

   

• Support integration with enterprise systems including Dynamics 365 and external data sources

   

• Stay updated with evolving Azure data, AI, and analytics capabilities

   

Required Skills & Qualifications

• Strong experience with Azure data services such as Data Factory, Synapse, Data Lake, and related tools

   

• Knowledge of machine learning frameworks, AI services, and analytics platforms

   

• Experience designing scalable data architectures and distributed systems

   

• Strong problem-solving, analytical, and system design skills

   

• Ability to translate business requirements into technical solutions

   

• Effective communication and collaboration across cross-functional teams

Preferred Qualifications

• Experience with OpenAI, Microsoft Copilot, or LLM-based solutions

   

• Familiarity with data governance, compliance, and regulatory frameworks

   

• Exposure to real-time analytics and streaming data architectures

Experience

 8–12 years of experience in data engineering, analytics, or AI architecture roles

Education

 Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field