Azure Data Platform Architect

About the role

An established multinational organisation is looking for an experienced Azure Data Platform Architect to lead the architecture and strategic development of its enterprise Data platform and AI capabilities. The role defines scalable platform architectures, assesses existing capabilities and drives the adoption of modern Data and AI technologies across a complex, multi-business environment. The vacancy is advertised by Argyll Scott Asia, which acts as an employment agency.

Key responsibilities

• Define and drive the architecture and roadmap for enterprise Data and AI platforms, with a strong focus on Microsoft Azure, Microsoft Fabric and Microsoft Foundry.
• Engage business and technology stakeholders to assess existing platform capabilities, understand requirements and develop a strategic roadmap for Data and AI adoption.
• Design scalable, secure and reusable platform architectures, establishing technical standards and best practices across data engineering, analytics and AI workloads.
• Provide architectural guidance on platform integration, security, governance and cost optimisation.
• Collaborate with internal technology teams and external partners to turn business requirements into scalable Data and AI platform solutions.

Required profile

• 8+ years of experience in Cloud, Data or AI Platform Architecture, with demonstrated expertise in designing enterprise-scale platforms.
• Proven experience in large, complex multinational organisations, with exposure to enterprise-wide platform architecture and transformation initiatives.
• Strong stakeholder engagement and communication skills, able to influence senior business and technology stakeholders.

Required skills

• Strong Microsoft Azure expertise, with hands-on architectural experience on data platforms such as Microsoft Fabric, Azure Synapse Analytics or Azure Databricks.
• Good understanding of AI platform architecture, preferably Microsoft Foundry, and experience supporting enterprise AI/ML or Generative AI capabilities.
• Understanding of cloud security, architecture governance and FinOps principles, particularly for scalable, cost-efficient platforms.