Ecommerce Architect

The Landmark Group began its journey in 1973 with one store in Bahrain and has grown into one of the largest retail and hospitality conglomerates in the Middle East, Africa, and India
. Currently, the Group operates over 2,200 outlets, encompassing over 30 million square feet across 21 countries
.

The Technical Architect is responsible for defining and guiding the technical and application architecture for enterprise solutions. The role translates business requirements into scalable, secure, and practical solution designs across applications, integrations, cloud platforms, data flows, and enterprise systems.

• eCommerce Application Architecture
• Solution Design
• AI-Enabled Architecture Design
• Cloud Platform and Security Enablement
• Cross Domain Application Alignment
• Infrastructure and Security Driven Application Design
• Drive Innovation

• Design end-to-end eCommerce application architectures across enterprise platforms, custom applications, SaaS solutions, cloud services, and digital systems
• Define application architecture standards, patterns, and best practices for modular design, service design, maintainability, scalability, performance, reliability, and supportability
• Guide teams on application structure, component design, technology selection, and alignment with enterprise architecture principles
• Ensure application designs support business capabilities, operational needs, security expectations, and long-term technology direction

• Translate business requirements into practical end-to-end technical designs and solution options
• Evaluate solution alternatives, identify technical risks, assess cost versus benefit, and recommend fit-for-purpose architecture decisions
• Create solution designs that consider applications, data flows, integrations, infrastructure, security, operations, and delivery constraints
• Provide technical guidance during delivery to ensure the implemented solution remains aligned with the approved design

• Identify practical opportunities to embed AI, automation, machine learning, and generative AI capabilities into enterprise applications and business processes
• Guide application teams on AI-enabled solution patterns, including intelligent search, document processing, recommendation engines, conversational interfaces, workflow automation, and decision support
• Ensure AI-enabled application designs consider data quality, privacy, security, access control, auditability, explainability, operational support, and responsible AI principles
• Work with data, integration, security, infrastructure, and platform teams to ensure AI solutions are properly connected to enterprise data, APIs, cloud services, and application platforms
• Support evaluation of AI tools, platforms, APIs, and vendor capabilities to determine fit-for-purpose use cases and enterprise adoption
• Ensure AI capabilities are designed as part of the application architecture, not as disconnected experiments or standalone proof of concepts

• Support legacy application assessment, rationalization, modernization, and simplification initiatives
• Identify opportunities to reduce technical debt, remove duplication, consolidate platforms, and improve application maintainability
• Guide modernization approaches, including re-platforming, refactoring, replacement, cloud adoption, containerization, and service enablement
• Partner with business and technology teams to define practical transition states from the current architecture to the target architecture

• Ensure application designs properly consider hosting, compute, storage, network, identity, access, security controls, performance, resilience, monitoring, backup, disaster recovery, and operational support requirements
• Work closely with infrastructure and security architects to align application designs with enterprise infrastructure, cloud, network, and security standards
• Incorporate security by design principles including identity and access management, role based access, encryption, secure APIs, data protection, vulnerability management, and compliance needs
• Validate that applications are designed for availability, scalability, observability, supportability, and production readiness

• Guide the use of cloud services, enterprise platforms, Dev Ops practices, CI/CD, automation, environment strategy, and deployment…