Data Architect

About the Job
Job Code: JPC-6318
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, 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

Language Requirements
Specific language requirements are not mentioned; however, proficiency in English is typically expected in a professional environment in the UAE.