Data Architect - Azure

Job Description

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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\n

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

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

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

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For more information, please contact David Coyle at 01 635 1748 or email [email protected]

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