Solutions Architect

This role is based in our Menara Skymind office.

Role Overview

​We’re now looking for an Solution Architect to join our Data Architecture & Engineering team. As an experienced solution architect responsible for designing and implementing scalable, secure, and efficient technology solutions that enable automation, data integration, and intelligence delivery across research and operational systems, this role ensures that architecture decisions align with business objectives and that data and software platforms are well-integrated, future-ready, and optimized for performance and cost. The role will required to manage few Data Engineers/Architect within the domain for Data/Cloud/Platform

Key Responsibilities

• Designing, developing, and maintaining end-to-end system architectures that connect internal data pipelines, automation services, and client-facing applications across multiple business domains.​
• Collaborating with stakeholders to translate business requirements into technical blueprints covering data flow, integration points, application components, and infrastructure needs.​
• Leading the architecture design for new initiatives from API ecosystems and data platforms to process automation solutions ensuring alignment with company-wide technology standards and scalability principles.​
• Providing technical oversight and governance to ensure code quality, performance, and security across engineering projects. Working closely with the Product, Technology, Strategy and Operations teams to define integration standards and improve interoperability across data systems and analytics tools.​
• Supporting project delivery by defining architectural frameworks, evaluating technology options, and guiding development teams throughout implementation, testing, deployment, and post-launch optimization.​
• Driving best practices in automation, data management, and application integration to enhance efficiency, data quality, and long-term maintainability.​
• Contributing to continuous improvement by identifying architectural enhancements, technical debt reduction, and opportunities for innovation.​
• Supporting the successful, on-time delivery of high-quality, highly relevant, and differentiated data products that provide foundations for syndicated and consulting projects across sectors.