Senior Solutions Architect

Description

The company runs and modernizes mission-critical technology systems for large global businesses, combining deep expertise with AI-driven insight.

This is a senior role within the Applications, Data & AI practice, where you will lead end-to-end architecture for complex enterprise transformation projects.

Responsibilities

• Lead end-to-end solution architecture for applications, data and AI projects.
• Turn business, functional and technical requirements into scalable designs and delivery roadmaps.
• Define and check non-functional requirements such as performance, security, resilience, scalability, observability, compliance and operational readiness.
• Design modern architectures spanning applications, data platforms, cloud services, APIs, integrations, analytics and AI.
• Give hands-on technical leadership to engineering and delivery teams during implementation.
• Produce architecture blueprints, technical designs, integration patterns, migration strategies and implementation guidance.
• Take part in technical workshops, proofs of concept, architecture reviews and design validation sessions.
• Spot technical risks, dependencies, delivery challenges and modernization opportunities.
• Encourage reusable patterns, automation, secure-by-design practices, governance and engineering quality.
• Advise clients and internal teams as a trusted voice on architecture and technology decisions.
• You will work across applications, data, cloud, integration, AI, automation and operations to help clients modernize their technology and speed up business value.

Requirements

• Required: 7+ years as a Solutions Architect, Enterprise Architect, Cloud Architect, Application Architect, Data Architect, Lead Engineer or a similar role.
• Proven record of designing and delivering enterprise-scale technology solutions.
• Strong knowledge of modern application architectures, cloud platforms, data platforms, APIs, integration patterns and distributed systems.
• Experience defining both functional and non-functional requirements for complex solutions.
• Strong understanding of scalability, resilience, security, observability, performance, compliance and operational readiness.
• Practical experience with cloud-native architectures on Google Cloud, AWS, Azure or hybrid cloud.
• Experience with application modernization, migration, integration, data platforms, analytics, AI enablement or automation.
• Strong communication skills and the ability to lead technical discussions, workshops and architecture reviews.
• Preferred: experience with microservices, APIs, event-driven architectures, containers, Kubernetes, DevSecOps and CI/CD.
• Preferred: knowledge of data lakes, data warehouses, lakehouse patterns, streaming, ETL/ELT, governance and analytics platforms.
• Preferred: familiarity with AI and GenAI enablement, MLOps, responsible AI and enterprise AI adoption patterns.
• Preferred: knowledge of Infrastructure as Code, DataOps, SRE, observability, automation and cloud cost optimization.
• Candidates who do not meet every requirement are still encouraged to apply.
• The company welcomes people of all cultures, backgrounds and experiences, and aims for every employee to feel included and valued. Equal opportunity applies.

Conditions

Hybrid-friendly work arrangement.

Benefits

• Be Well programs supporting financial, mental, physical and social health.
• Career development tools, personalized development goals and continuous feedback.
• Access to learning and certifications with Microsoft, Google and Amazon, plus coaching and hands-on experiences.