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Data Architect
Job summary
A technology solutions firm in the UAE is looking for a Data Architect with over 15 years of experience in data architecture and migration. This role requires expertise in designing enterprise data platforms and governance frameworks. The successful candidate will have a strong background in data engineering, ETL pipelines, and cloud data services such as Azure, AWS, or GCP. Knowledge of the utility/energy sector is preferred, along with experience leading lifecycle projects across GCC countries. Fluency in Arabic is a plus.
Qualifications
- Minimum 15+ years experience in data architecture and migration.
- Experience in designing enterprise data platforms and frameworks.
- Strong background in data engineering and architecture.
Responsibilities
- Design and implement data architectures for enterprise applications.
- Ensure data governance and quality throughout projects.
- Lead full lifecycle projects in the utility/energy sector across GCC countries.
Skills
Tools
Location: Ajman, UAE
Position type: Fulltime Permanent
Experience: 15+ Years
Minimum 15+ years experience in data architecture and migration
- Proven experience in designing enterprise data platforms and data governance frameworks.
- Strong background in data engineering and architecture.
- Expertise in Dataverse, Microsoft Fabric, and cloud data services (Azure, AWS, or GCP).
- Strong knowledge of ETL pipelines, data migration tools, and data quality management.
- Skilled in data modeling, analytics, and visualization (Power BI, Tableau, or equivalent).
- Arabic speaking (good to have).
- Experience in utility/energy sector (preferably water & electricity) & full lifecycle projects (atleast 2 as Data Architect) across GCC countries.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.