Azure Data and 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
- Azure data platform architecture
- Microsoft Azure
Desirable
- Azure Data Factory/Azure Data Lake Storage/Azure Synapse Analytics/Azure Data Explorer/Microsoft Purview/Power BI/Azure SQL
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)
- Azure AI Services
- Microsoft Foundry
- Azure OpenAI Service
- Retrieval Augmented Generation (RAG) architectures
- AI-ready data platform design
- Intelligent document processing and knowledge discovery
- Responsible AI and AI governance principles
Development/DevOps (as many of the following as possible)
- Python and/or C#
- Azure DevOps
- GitHub
- CI/CD pipelines and automation
- Infrastructure as Code principles
- Software engineering and DevOps best practices
Architecture and Governance (as many of the following as possible)
- Azure Well-Architected Framework
- Microsoft Cloud Adoption Framework
- Azure Landing Zones
- Security, compliance and governance best practices
- Enterprise architecture and solution governance methodologies
Certifications (1 or more...)
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Fabric Data Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Scientist Associate
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.
