Data & AI Solution Architect

Role Summary

Lead architecture for enterprise data and AI programmes using Microsoft technologies. Define the target architecture, platform choices, integration patterns, security, scalability, governance standards, and delivery approach. Must be able to estimate effort, define the solution scope, and prepare and optimise financial bills of quantities (BOQs) and cost estimates for services and tools. As a Manager, demonstrate strong technical depth and hands-on knowledge of the Microsoft Data & AI stack while engaging clients and guiding engineering teams.

Key Responsibilities

• Lead architecture for enterprise data and AI programmes using Microsoft technologies.
• Define the target architecture, platform choices, integration patterns, security, scalability, governance standards, and delivery approach.
• Must be able to estimate effort, define the solution scope, and prepare and optimise financial bills of quantities (BOQs) and cost estimates for services and tools.
• As a Manager, demonstrate strong technical depth and hands-on knowledge of the Microsoft Data & AI stack while engaging clients and guiding engineering teams.
• Translate business and delivery requirements into enterprise data and ai architecture in the microsoft ecosystem designs.
• Define and communicate architecture decisions, dependencies, and implementation trade-offs.
• Support client workshops and solution discussions with clear technical rationale.

Required Skills and Experience

• 8 - 12 years of relevant experience, aligned to the Manager position type.
• Fabric.
• Databricks.
• Azure AI services.
• architecture design.
• solution estimation.
• client-facing solutioning.