Solutions Architect

Job Description – Senior Solution Architect

Role Overview

1. End‑to‑End Technical Architecture

• Own the overall technical architecture across application, data, integration, infrastructure, security, and AI layers.
• Translate business and functional requirements into clear, implementable architectures aligned with enterprise and cloud standards.
• Ensure architectural consistency and solution coverage across all project workstreams.

2. Low‑Level Design & Technical Direction

• Produce and govern low‑level designs (LLDs), including:
• Detailed component and service design
• Deployment architecture and environment separation
• Data models, data flows, and integration patterns
• API contracts and interface specifications
• Provide hands‑on guidance to engineering teams throughout build and integration.
• Review and approve detailed technical designs, configurations, and implementation approaches.

3. Delivery Ownership & Execution

• Act as the technical authority during project delivery, from design through go‑live.
• Work closely with project managers and delivery leads to:
• Support scope definition and effort estimation
• Identify architectural risks and constraints
• Drive technical decision‑making to keep delivery on track
• Ensure non‑functional requirements (performance, scalability, availability, security) are met

4. Stakeholder & Vendor Engagement

• Communicate architectural decisions clearly to both technical and non‑technical stakeholders.
• Lead or support technical interactions with vendors and system integrators.
• Provide technical input into proposals, SoWs, and change requests when required.

Required Experience & Qualifications

• 10+ years of experience in solution architecture or senior technical leadership roles.
• Strong delivery‑focused background, with proven experience taking designs through to production.
• Demonstrated expertise in low‑level design and hands‑on delivery support.
• Solid experience with:
• Data centre and air-gapped environment
• Cloud and hybrid infrastructure architectures
• Enterprise integration patterns and APIs
• Data platforms and analytics solutions
• AI/ML solutions at an architectural or solution‑delivery level
• Embed security‑by‑design across all solution components
• Clear communication with engineering teams, leadership, and external partners.