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Data Architect Head- Emirati Talent

Job in Abu Dhabi, UAE/Dubai
Listing for: Department of Community Development
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Database Administrator
Salary/Wage Range or Industry Benchmark: 300000 - 420000 AED Yearly AED 300000.00 420000.00 YEAR
Job Description & How to Apply Below

The Department of Community Development is hiring for the position of Section Head of Data Architect
-Emirati Talent with Hands-on expertise in Data Architecture

About the Role

Data Architect Head responsible for leading Data Architecture function: data platforms, data models, and data pipelines to ensure alignment with the organization’s data strategy, data architecture, and analytical requirements.

Responsibilities
  • The role oversees the design, development, operation, and continuous improvement of data Architecture: Data platforms, including data warehouses, data lakes, ETL/ELT processes, data catalogues, and data quality platforms.
  • It also ensures effective data integration, automation, and exchange across the social sector to support analytics products, reporting, and priority data use cases.
  • The role is also accountable for maintaining and monitoring data quality across datasets, systems, dashboards, and reports, while ensuring sector entities comply with approved data quality standards and guidelines.
  • In addition, the position contributes to strategic planning, performance monitoring, budget.
Qualifications
  • Bachelor's degree in related field, Masters preferred.
  • Currently on a supervisory/Lead role managing a team.
  • Minimum 7 years of total full-time experience with hands-on technical expertise in Data Architecture (Medallion data design, data strategy, modern data platform technologies).
Required Skills
  • Hands-on experience in modern data platform technologies, cloud data ecosystems, data warehousing, data lakes/lake houses, ETL/ELT tools, data integration platforms, data cataloguing, metadata management, and data quality solutions.
  • Experience with platforms such as Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, SQL-based data platforms, and enterprise data governance tools would be considered an advantage.
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