Data AI Solution Architect

About the role

We are looking for a highly professional, client‑facing Data and AI Solution Architect to lead the design, implementation and delivery of advanced data lake, migration and semantic data layer projects, as well as cutting‑edge Generative AI solutions for enterprise customers.

Key responsibilities

• Lead end‑to‑end architecture and delivery of data and AI solutions using Azure, MS Fabric, Databricks and GenAI platforms.
• Design and implement scalable, secure data lakes, distributed systems and analytics platforms.
• Integrate AI technologies such as Copilot, Claude and other GenAI agents into business workflows.
• Collaborate with data analysts, product managers, data scientists, engineers and senior client stakeholders to define requirements and deliver tailored solutions.
• Provide technical leadership, governance, mentorship and architectural guidance across multiple project streams.
• Drive data governance, strategy and process improvements to ensure data accuracy, consistency, security and compliance.
• Document architectural decisions, workflows and implementation guidelines for enterprise platforms.
• Advise clients on platform decentralisation, operating models and data product protocols.
• Support presales activities, including proposals, SOWs, RFP responses and technical assessments.

Required profile

• 10+ years of professional experience in data and AI architecture, design and implementation.
• Deep expertise with Azure, MS Fabric and Databricks, including data lake and distributed application development.
• Strong background in manufacturing, CRM and ERP systems, and data governance.
• Proven ability to lead client engagements and provide strategic advisory.
• Excellent communication, leadership and stakeholder‑management skills.

Required skills

• Azure
• MS Fabric
• Databricks
• Python
• SQL
• GenAI (Copilot, Claude)
• Power BI
• Delta Lake
• Azure Data Factory
• DevOps practices for Data/AI‑ML projects

What we offer

• Engineering heritage with over 30 years of tackling complex challenges.
• Access to best‑in‑class experts and a culture of engineering excellence.