Cloud Architect - Hire or get hired
Your complete guide to the Cloud Architect Role: Duties, salary & hiring tips
Purpose of the Cloud Architect
The Cloud Architect designs and manages scalable, secure cloud infrastructure to support enterprise IT needs and strategic digital initiatives.
Cloud Architect's duties and responsibilities
• Architecture Design:
Develop cloud infrastructure designs across AWS, Azure, or GCP.
• Security & Compliance:
Ensure cloud environments meet security and regulatory requirements.
• Migration:
Lead cloud migration and modernisation initiatives.
• Optimization:
Improve performance, scalability, and cost-efficiency of cloud platforms.
• Collaboration:
Work with developers, DevOps, and IT teams to align cloud solutions.
Develop cloud infrastructure designs across AWS, Azure, or GCP.
• Security & Compliance:
Ensure cloud environments meet security and regulatory requirements.
• Migration:
Lead cloud migration and modernisation initiatives.
• Optimization:
Improve performance, scalability, and cost-efficiency of cloud platforms.
• Collaboration:
Work with developers, DevOps, and IT teams to align cloud solutions.
Requirements and qualifications for a Cloud Architect
• 8+ years’ experience in cloud architecture or engineering
• Certifications in AWS, Azure, or GCP preferred
• Strong understanding of cloud security and automation
• Experience in hybrid and multi-cloud environments
• Excellent problem-solving and technical leadership skills
• Certifications in AWS, Azure, or GCP preferred
• Strong understanding of cloud security and automation
• Experience in hybrid and multi-cloud environments
• Excellent problem-solving and technical leadership skills
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AI continues to reshape workforce priorities, with 47% of businesses seeking candidates with at least a base-level understanding of AI. Key skills growing in importance include automation and IT process orchestration (63%), continuous learning in AI (45%), and cybersecurity using AI-driven threat detection (37%). Cybersecurity, upskilling, and AI and machine learning are now the top three business priorities, each cited by over 50% of companies.
Contractor usage has remained relatively stable, with 81% of companies expecting no change in 2025, and nearly half keeping contractor levels under 10%. The shift towards AI, automation, and cybersecurity signals an evolving skills landscape, requiring businesses to balance permanent hires with specialised expertise to stay competitive.
