Azure Data & AI Architect

Azure Data / AI Architect - remote (can be hybrid / client visits when required) - excellent opportunity to join this gold-stamp Azure Partner.

Core Experience

• Microsoft Fabric and/or Azure Databricks

Data Engineering and Analytics (as many of the following as possible)

• Data integration and ETL/ELT design
• Data warehousing methodologies
• Medallion architecture and modern Lakehouse design
• Data modelling and information architecture
• Streaming and near real-time data platforms
• Advanced analytics and reporting solutions
• Machine Learning and Large Language Models

Azure AI (as many of the following as possible)

• Retrieval Augmented Generation (RAG) architectures
• Intelligent document processing and knowledge discovery
• Responsible AI and AI governance principles

Development/Dev Ops (as many of the following as possible)

• Python and/or C#
• Git Hub
• CI/CD pipelines and automation
• Infrastructure as Code principles
• Software engineering and Dev Ops best practices

Architecture and Governance (as many of the following as possible)

• Security, compliance and governance best practices
• Enterprise architecture and solution governance methodologies

Microsoft Certifications (1 or more...)

Role (Duties include)

• Support the development and growth of the Data and AI practice;
  Define and evolve Data and AI service offerings, methodologies, accelerators and delivery frameworks;
  Establish architectural standards, governance principles and quality frameworks to ensure consistent delivery excellence across customer engagements.
• Architect and oversee the delivery of enterprise-scale Data and AI solutions on Microsoft Azure.
• Design modern data platforms using technologies including Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Microsoft Purview, Azure Data Explorer, Synapse Analytics and Power BI.
• Apply data and semantic modelling best practices including dimensional modelling to deliver consistent, trusted and high-performing analytics solutions.
• Design AI-ready data platforms that support advanced analytics, machine learning and Generative AI workloads.
• Architect solutions leveraging Azure AI Services, Microsoft Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric capabilities where appropriate.
• Design Retrieval Augmented Generation (RAG) architectures, knowledge discovery solutions and intelligent data-driven applications.
• Promote the adoption of Responsible AI principles, governance frameworks and security controls across customer and internal solutions.
• Act as a trusted technical leader, mentoring consultants, engineers and architects while promoting knowledge sharing and continuous improvement.