Data Architect

Majid Al Futtaim; Dubai; On-site; AED 300,000 - 360,000; Full time

Job summary

A leading asset management firm in Dubai seeks a Data Architect to design and implement scalable data architecture and technology strategies. This role requires strong expertise in enterprise architecture and cloud-native platforms, focusing on business enablement and compliance. The ideal candidate should have at least 10 years of experience in technology transformation and a solid background in data governance. This position offers opportunities to influence strategic decision-making and drive analytics across multiple locations.

Qualifications

• 4+ years in direct solution development.
• 10–12 years’ experience in technology or enterprise architecture.
• Deep expertise in enterprise architecture frameworks and data modeling.

Responsibilities

• Lead design of scalable enterprise data architecture.
• Develop enterprise-wide technology strategy and digital maturity.
• Oversee cloud-based data integration pipelines.

Skills

Enterprise Architecture

Data Governance

Cloud-native platforms (Azure, AWS, GCP)

Leadership

Agile methodologies

Education

Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field

Tools

TOGAF/Zachman certifications

SaaS/IaaS/PaaS

Job description

JOB TITLE

Data Architect | MAF Properties | Technology & Transformation

ROLE SUMMARY

Majid Al Futtaim Asset Management is transforming its retail operations with advanced Data & AI capabilities. The Data Architect leads the design of a scalable, secure, and business-aligned enterprise data architecture, setting standards for modeling, governance, and integration. Working with stakeholders and executives, the role enables advanced analytics, operational efficiency, and strategic, data-driven decision-making.

ROLE PROFILE

• Technology Strategy & Transformation: Develop and communicate enterprise-wide technology strategy, drive digital maturity, and champion adoption of AI, cloud, and automation across business and customer processes.
• Enterprise Architecture: Lead design and management of scalable, modular enterprise architecture covering data, applications, technology, and business processes, promoting agility and interoperability.
• Data Architecture & Modeling: Develop unified data architecture and modeling frameworks to support analytics and AI use cases, ensuring standardization, integration, and reuse of data assets.
• Data Governance & Compliance: Design and implement governance frameworks, privacy policies, and data stewardship practices to ensure compliance and high-quality data across the organization.
• Integration & Engineering: Oversee cloud-based data integration pipelines, modern infrastructure, and technologies for a high-performance unified data platform.
• Business Enablement & Analytics Delivery: Act as a strategic advisor to business teams, translating data needs into technical solutions and enabling AI/ML and automation initiatives with measurable impact.
• Operational Excellence & Security: Promote scalable, automated, and secure data architecture solutions that enhance reliability, efficiency, and resilience.
• Scope & Impact: Support analytics and Cognitive Campus initiatives across 29 malls and 7 hotels in 5 countries, delivering AED 1.3B in revenue and AED 976M in NOPAT, while guiding cross-functional teams and strategic decision-making.

REQUIREMENTS

• Qualifications & Certifications: Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field; TOGAF/Zachman or cloud/data management certifications are advantageous, with 4+ years in direct solution development.
• Strategic & Leadership Expertise: Senior technology or enterprise architect with 10–12 years’ experience, skilled in leading large-scale technology and data transformation programs, influencing senior leadership, and aligning IT initiatives with business.
• Enterprise & Data Architecture: Deep expertise in enterprise architecture frameworks, data modeling, integration, governance, and quality management at scale.
• Technical Proficiency: Hands-on experience with cloud-native platforms (Azure, AWS, GCP), SaaS/IaaS/PaaS, microservices, APIs, event-driven architectures, and predictive analytics.
• Solution Development & Delivery: Experienced in Agile, Lean, SDLC methodologies, ITIL principles, and cross-functional solution development for applications, middleware, and data platforms.
• Leadership & Communication: Strong business acumen, proven ability to mentor high-performing teams, and excel in communicating complex technical concepts to technical and business stakeholders.