Data Architect

Job Title: Data Architect

Location: Abu Dhabi, UAE

We are looking for an experienced Data Architect to design and drive enterprise-level data architecture, data modeling, integration, and governance initiatives. The successful candidate will work closely with business and technology stakeholders to build scalable, secure, and high-performing data solutions aligned with organizational objectives.

Key Responsibilities

Data Architecture & Design

• Design, develop, and maintain enterprise data architecture aligned with strategic business objectives.
• Develop conceptual, logical, and physical data models to support enterprise data management and analytics.
• Establish data architecture roadmaps ensuring scalability, security, performance, and efficiency.
• Design architectures for data warehouses, data lakes, data marts, and enterprise data platforms.

• Define and enforce data architecture principles, standards, and best practices.
• Establish guidelines for data modeling, data dictionaries, metadata management, and reference/master data.
• Ensure architecture complies with data governance, security, privacy, and regulatory requirements.
• Support implementation of Master Data Management (MDM) and data quality frameworks.

• Design enterprise data integration frameworks connecting internal and external data sources.
• Define and oversee ETL/ELT pipelines for extracting, transforming, processing, and loading data.
• Collaborate with IT and engineering teams in selecting and implementing data management technologies.
• Ensure seamless integration across enterprise applications and data platforms.

• Monitor and optimize data architecture performance through testing, validation, and troubleshooting.
• Improve data accessibility, security, reliability, and processing efficiency.
• Ensure appropriate indexing, partitioning, and optimization techniques for improved query performance.

• Collaborate with senior management, business stakeholders, IT teams, data engineers, analysts, and governance teams.
• Translate business requirements into scalable and efficient data architecture solutions.
• Provide technical guidance and architectural leadership for enterprise data initiatives.
• Ensure data solutions meet both functional and strategic business requirements.

• Evaluate emerging data technologies, platforms, and architecture approaches.
• Conduct feasibility assessments for new data solutions and technologies.
• Recommend tools and platforms that strengthen enterprise data capabilities.
• Promote industry best practices in data architecture and enterprise data management.

• Bachelor s or Master s degree in Computer Science, Information Systems, Data Management, or a related discipline.
• Minimum 7+ years of experience in data architecture, data modeling, and enterprise data management.
• Proven experience designing and implementing data warehouses, data lakes, data marts, and enterprise data frameworks.
• Strong hands-on understanding of ETL/ELT, data integration, metadata management, MDM, and data governance.
• Expertise in conceptual, logical, and physical data modeling.
• Strong proficiency in SQL and data modeling/architecture tools such as Erwin and ArchiMate.
• Experience with cloud data platforms across Azure, AWS, and/or GCP.
• Strong understanding of data security, privacy, regulatory compliance, and data quality principles.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Certifications such as the following will be an advantage:

• TOGAF
• DAMA CDMP
• AWS Certified Data Analytics or equivalent AWS data certification
• Google Cloud Professional Data Engineer