Modern Cloud Data Architect - Data & AI

Slalom; Dublin; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work environment

Job summary

Slalom in Dublin, Ireland, is seeking a Senior Modern Cloud Data Architect to join their Data & AI team. This role includes defining and architecting data and AI solutions to help clients improve their business. The ideal candidate will lead architecture design, oversee the delivery of agentic AI solutions, and collaborate with business and IT stakeholders.

A strong background in modern data platforms, the Microsoft data stack, and data governance is essential. We offer competitive compensation and a flexible work environment.

Qualifications

• Considerable knowledge of modern data architectures and cloud platforms.
• Deep experience with Microsoft data and AI stack.
• Hands-on experience designing AI solutions.

Responsibilities

• Lead data architecture on agile projects for transformative solutions.
• Collaborate with stakeholders to capture data and AI requirements.
• Design and deliver AI solutions on the Microsoft stack.

Skills

Modern data architectures

Cloud data platforms

Data engineering

Microsoft Azure

AI solutions design

Data strategy

Tools

Microsoft Fabric

Copilot Studio

Microsoft Foundry

Snowflake

Databricks

AWS

Job description

Senior Modern Cloud Data Architect – Dublin, Ireland

Slalom Ireland is looking for a senior Modern Cloud Data Architect to join our Data & AI team. As a team member and architecture leader, you will define and architect the data and AI solutions our clients use to run and improve their business.

You will lead the architecture, design, and engineering of solutions, spanning modern data platforms and agentic AI systems built on top of them.

Responsibilities

• Collaborate with client business and IT stakeholders, capture data, analytical and AI requirements and align technical solutions to business objectives.
• Act as lead data architect on agile projects to deliver transformative data and AI solutions aligned to industry best practices.
• Design and lead delivery of agentic AI solutions on the Microsoft stack, from low‑code agents in Copilot Studio to pro‑code orchestration in Microsoft Foundry.
• Architect how agents are deployed, observed and governed at scale, including identity, access control and lifecycle management through Microsoft Agent 365.
• Advise clients on where agents add value and where they don’t, grounding recommendations in business outcomes rather than platform features.
• Set technical standards for agent design, evaluation and safety across client engagements.
• Participate in cloud data architecture and technology maturity assessments, co‑create bold visions for the future and define enabling modern data architectures and data & AI solution roadmaps.
• Research, support, recommend and select technical approaches for solving complex development and integration problems.
• Support practice growth through business development, talent management, delivery oversight and thought leadership.
• Build and lead a team of cloud data architects and data engineers.

Required Skills and Qualifications

• Considerable knowledge of modern data architectures, cloud data platforms, data engineering, and the tools and processes that support them.
• Deep experience with the Microsoft data and AI stack: Azure, Microsoft Fabric, and ideally Microsoft Foundry for building and deploying AI agents.
• Hands‑on experience designing and shipping agentic AI solutions, including low‑code platforms such as Copilot Studio and pro‑code agent orchestration.
• Understanding of how agents are governed at enterprise scale: identity, access control, observability and lifecycle management (experience with Microsoft Agent 365 or comparable control‑plane tooling is a strong advantage).
• Strong experience with data governance and data strategy (essential).
• Experience with multiple data modelling techniques, data integration patterns, and underlying data and pipeline engineering.
• Experience with master data management as part of data architecture.
• Experience with CI/CD, ideally extended to deployment and evaluation of AI agents.
• Experience with additional cloud platforms beneficial (Snowflake, Databricks, AWS).
• Experience scoping, estimating and writing proposals for complex data and AI solutions.
• Experience hiring, leading and coaching people.

Compensation and Benefits

We offer competitive compensation and benefits packages that support a high‑impact, flexible work environment.

If you require reasonable adjustments during the recruitment process, please contact us for assistance.