-
Define and lead the enterprise data strategy and target-state architecture
-
Develop scalable, secure cloud-based data platforms to support innovation, AI, and advanced analytics
-
Establish and maintain enterprise data models, metadata standards, integration patterns, and architecture governance
-
Manage and evolve middleware and integration solutions to ensure seamless, secure system interoperability
-
Collaborate with senior stakeholders to deliver practical, value-aligned data solutions
-
Enable analytics, reporting, and AI initiatives through robust data modelling and infrastructure
-
Lead and mentor a high-performing data team, promoting collaboration, innovation, and continuous improvement
-
Represent the digital and technology function in organisation-wide programmes and external data communities
-
Degree (NFQ Level 7 or above) in Computer Science, Information Systems, Data Engineering, or a related field
-
Minimum 5 years’ experience in enterprise data architecture, systems integration, or similar roles within complex organisations
-
Expertise with integration platforms (e.g., Boomi, MuleSoft, Azure Logic Apps) and enterprise data architecture design
-
Strong knowledge of cloud technologies (AWS, Azure, GCP), APIs, and modern data paradigms (e.g., lakehouse, data mesh)
-
Excellent interpersonal and stakeholder engagement skills
-
A postgraduate qualification and hands-on experience with tools like Python, SQL, Power BI, or MS Fabric are advantageous