Solutions Architect - Hire or get hired
Your complete guide to the Solutions Architect Role: Duties, salary & hiring tips
Purpose of the Solutions Architect
The Solutions Architect defines and oversees end-to-end technical solutions for business systems and applications, ensuring scalability and alignment with enterprise goals.
Solutions Architect's duties and responsibilities
• Solution Design:
Translate business needs into scalable, secure technical solutions.
• Stakeholder Engagement:
Collaborate with business, IT, and vendors to design solutions.
• Documentation:
Create architecture diagrams, specs, and technical roadmaps.
• Governance:
Ensure adherence to architectural standards and compliance.
• Innovation:
Evaluate new tools and technologies to enhance capabilities.
Translate business needs into scalable, secure technical solutions.
• Stakeholder Engagement:
Collaborate with business, IT, and vendors to design solutions.
• Documentation:
Create architecture diagrams, specs, and technical roadmaps.
• Governance:
Ensure adherence to architectural standards and compliance.
• Innovation:
Evaluate new tools and technologies to enhance capabilities.
Requirements and qualifications for a Solutions Architect
• 7+ years’ experience in solutions or enterprise architecture
• Expertise in software architecture and systems integration
• Excellent stakeholder and documentation skills
• Familiarity with cloud and on-prem environments
• Degree in IT, engineering, or related field
• Expertise in software architecture and systems integration
• Excellent stakeholder and documentation skills
• Familiarity with cloud and on-prem environments
• Degree in IT, engineering, or related field
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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.
