Data Architecture Section Head (UAE National)
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About the Role
The Department of Community Development is hiring for the position of Section Head of Data Platforms (UAE National).
Key Skills for This Role
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Overview
The Department of Community Development is hiring for the position of Section Head of Data Platforms (UAE National).
About The Role
Responsible for leading the day-to-day activities related to 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 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 management, policy implementation, and people management within the Data Platforms Section.
- It plays a key leadership role in enabling the Department and the social sector’s data agenda through robust, scalable, and governed data platform capabilities.
Qualifications
- Bachelor's degree in related field, Masters preferred.
- Currently on a supervisory/Lead role managing a team.
- Minimum 8 years of total full-time experience.
Required Skills
- Preference will be given to candidates with 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, Power BI, Purview, Databricks, Snowflake, SQL-based data platforms, and enterprise data governance tools would be considered an advantage.
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