Data Architect - Azure

My client is seeking a Data Architect with strong expertise in data modelling (relational, conceptual, logical, and dimensional) and a proven track record designing ETL architectures. This is an opportunity to future-proof your career with a global IT leader at the forefront of innovation and AI.

Key Responsibilities

• Translate business requirements into scalable data solutions, including data integration and transformation.
• Define and promote data architecture principles within Azure.
• Design modern, reference data architectures aligned to business needs.
• Develop and implement ETL pipelines based on best-practice architectures.
• Lead migration of on-premise solutions to Azure environments.
• Set standards for data modelling and data warehouse design.
• Establish processes and governance for data architecture practices.

Your Profile Essential Skills & Experience

• Strong background in software development and Agile delivery.
• Experience building data engineering solutions and pipelines.
• Deep knowledge of data architecture patterns across descriptive, predictive, and prescriptive analytics.
• Expertise in data modelling: relational (Inmon) and dimensional (Kimball), including SCD (Types 1 & 2).
• Hands on experience with modern data platforms: Data Lakes, Delta Lakes, Data Warehouses, Data Marts, and Lakehouses.
• Proven experience with Azure data services (e.g., Azure Data Lake).
• Ability to design and implement conceptual, logical, and physical data models.
• Strong documentation, communication, and organisational skills.
• Experience working across diverse IT environments and platforms.

Salary dependent on candidate experience. Benefits: Annual Bonus Scheme. Contributory Pension. Private Medical Insurance. Life Assurance & Long-Term Disability. Employee Assistance Programme. 22 days annual leave + 10 public holidays. Continuous Learning & Development. Access to extensive training & certification resources. Lunch & Learn sessions. Additional perks including company discounts, on site parking, and bike to work scheme

Based in Dublin. (2-3 days onsite per week). Candidates must be eligible to work in Ireland/EU.

For more information, please contact David Coyle at or email