Solution Architect

Solution Design: Develop and design technical solutions that address business needs, ensuring they are scalable, secure, and cost-effective.

Performance Improvement: Identify and troubleshoot performance issues whilst recommending system and business process enhancements.

Technical Leadership: Provide technical guidance and leadership throughout the project lifecycle, from initial requirements gathering to deployment and maintenance.

Stakeholder Collaboration: Work closely with business stakeholders, project managers, and development teams to ensure solutions are aligned with business objectives and technical standards.

Technology Evaluation: Assess and recommend new technologies and tools that can enhance the organization's IT capabilities.

Documentation: Create and update detailed documentation of solution designs, architecture blueprints, and technical specifications.

General Technical Skills

-      Cloud Computing: Proficiency in cloud platforms such as AWS, Azure, including experience with cloud architecture and services.

-      Software Development: Strong knowledge of software development methodologies, programming languages, and frameworks.

-      Systems Integration: Experience with integrating various systems and applications, ensuring seamless data flow and interoperability.

-      Security: Understanding of cybersecurity principles and best practices to ensure solutions are secure and compliant with industry standards.

-      Database Management: Knowledge of database technologies, both relational (e.g. SQL) and non-relational (e.g. NoSQL), and experience with database design and optimization.

Specialisation Skills (As required)

-      Microservices Architecture: Expertise in designing and implementing microservices-based solutions, including containerization and orchestration (e.g. Docker, Kubernetes).

-      Event Driven Architecture: Knowledge of Kafka and experience in designing and implementing event-driven systems using publish-subscribe patterns

-      DevOps: Experience with DevOps practices and tools, including CI/CD pipelines, automation, and infrastructure as code.

-      AI/ML: Experience with artificial intelligence and machine learning concepts and tools, and the ability to integrate AI/ML solutions into the overall architecture.

-      Degree or Diploma in Computer Science, Computer Engineering, Information Technology, or related disciplines.

-      Cloud Certifications: Certifications from major cloud providers such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.

-      Project Management Certifications: PMP (Project Management Professional) or similar certifications are advantageous.