Key responsibilities:

• Provide technical leadership and develop architecture and engineering capability across teams.
• Guide clients in establishing data foundations required to support advanced analytics, machine learning, generative AI and agentic architectures
• Advise senior client stakeholders, shape business proposals and estimates, and connect data foundations to analytics, AI and agentic use cases.
• Oversee architectural consistency, quality and strategic alignment across multiple client engagements and delivery programmes
• Define current-state assessments, target architectures, transition roadmaps and architecture principles for enterprise data platforms.
• Lead design across ingestion, lakehouse, warehouse, semantic, master-data, metadata, governance and data-serving capabilities.
• Select fit-for-purpose patterns across Microsoft Fabric, Azure data services, Databricks and the broader enterprise ecosystem, and non-functional design for security, privacy, sovereignty, resiliency, performance, scalability and cost.
• Chair design governance, manage architecture risk and assure delivery across multiple workstreams or programmes.

Qualification