Data Architect

Sundus; Abu Dhabi; On-site; AED 350,000 - 550,000; Full time

Job summary

Sundus is seeking an experienced Data Architect in Abu Dhabi to design enterprise data architecture, modeling, integration, and governance initiatives. You will partner with business and technology stakeholders to build scalable, secure, high‑performing data solutions.

Key responsibilities include creating conceptual, logical and physical data models, establishing data standards, overseeing ETL/ELT pipelines, and guiding data security, privacy, and regulatory compliance across the organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management or related discipline.
• 7+ years of experience in data architecture and enterprise data management.
• Proven experience designing data warehouses, data lakes, data marts, and enterprise data frameworks.
• Strong knowledge of ETL/ELT, data integration, metadata management, MDM, and data governance.
• Expertise in conceptual, logical, and physical data modeling.
• Strong SQL skills and experience with data modeling/architecture tools (Erwin, ArchiMate).
• Experience with cloud data platforms (Azure, AWS, GCP) and data security/regulatory compliance.

Responsibilities

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

Skills

Data architecture

Data modeling

ETL/ELT

SQL

Stakeholder management

Leadership

Problem solving

Communication

Education

Bachelor's or Master's in Computer Science or related

Tools

Erwin

ArchiMate

Azure

AWS

GCP

MDM tools

Job description

Job Code: JPC-6318

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.

Data Standards & Governance

• 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.

Data Integration & Management

• 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.

Performance & Optimization

• 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.

Stakeholder & Technical Leadership

• 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.

Technology & Innovation

• 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.

Qualifications & Experience

• 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.

Preferred Certifications

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