Data Architect

About the role

We are looking for an experienced Data Architect to join our technology and data team in the United Arab Emirates. You will design, develop, and maintain the enterprise data architecture, ensuring scalable, secure, and high‑performance solutions that enable business intelligence, analytics, AI, and digital transformation.

Key responsibilities

• Design and maintain enterprise data architecture, data models, and integration frameworks.
• Develop scalable data warehouse, data lake, and cloud data platform solutions.
• Define data standards, governance policies, and best practices to ensure data quality and consistency.
• Collaborate with business and technical teams to translate data requirements into technical solutions.
• Design and optimise ETL/ELT pipelines and data integration processes.
• Incorporate data security, privacy, and regulatory compliance into architecture designs.
• Optimise database performance, scalability, and reliability across enterprise systems.
• Support BI, reporting, machine learning, and advanced analytics initiatives.
• Evaluate emerging data technologies and recommend architecture improvements.
• Mentor technical teams and provide guidance on best practices.

Required profile

• Bachelor's degree in Computer Science, IT, Data Science, Software Engineering or related field.
• 5–8 years of experience in data architecture, data engineering, or database administration.
• Strong expertise in enterprise data architecture and database design.
• Excellent analytical, problem‑solving and strategic thinking abilities.
• Deep understanding of data governance, metadata management and data quality frameworks.
• Effective communication and stakeholder management skills.
• Experience working in cross‑functional Agile environments.
• Innovative, detail‑oriented and results‑driven mindset.

Required skills

• SQL and NoSQL databases.
• Data modelling, ETL/ELT, data warehousing.
• Cloud platforms: AWS, Microsoft Azure, Google Cloud.
• Services: Amazon Redshift, Azure Synapse, BigQuery, Snowflake.
• Databases: Oracle, Microsoft SQL Server, PostgreSQL, MySQL, MongoDB.
• Data integration/orchestration tools: Informatica, Talend, Apache Kafka, Apache Spark, Databricks.