Must have

• SaaS

• Cloud-native technologies

• Distributed systems

• Event-driven architectures

• OAuth2

• OIDC

• PKI

• Application portfolio management

• Software architecture

• Data integration

• Application design

• Communication skills

• Stakeholder management

• Analytical skills

• English (B2)

Nice to have

• Financial services

• KYC/AML

• Data governance

• Data lifecycle management

• disaster recovery

Requirements description

• Proven Solution Architect experience, ideally in SaaS environments, delivering complex solutions.
• Expertise in cloud-native technologies, distributed systems, and event-driven architectures.
• Hands-on knowledge of integration patterns, web-based security (e.g., OAuth2, OIDC, PKI), and application portfolio management.
• Strong skills in software architecture, data integration, and application design.
• Ability to balance business and technical requirements for scalable, secure solutions.
• Excellent communication and stakeholder management skills to influence and advise.
• Fluency in English (minimum B2) and ability to thrive in an international environment.
• Strong analytical skills and experience applying solution development controls.

Nice to haves:

• Experience in financial services, particularly KYC/AML or compliance projects.
• Knowledge of modern data governance and data lifecycle management.
• Familiarity with disaster recovery and resilience strategies.
• Experience mentoring teams or contributing to architecture governance

Your responsibilities

1. Solution Design and Delivery: Collaborate with clients to translate business goals into robust, scalable SaaS architectures. Design and document end-to-end solutions, integrating with client systems while ensuring security (e.g., GDPR), performance, and scalability. Lead all project phases—discovery, design, implementation, testing, and post-go-live support. Conduct Proof of Concepts (PoCs) to validate solutions and refine requirements.
2. Strategic Approach: Align solutions with clients’ long-term business and technology roadmaps, addressing cross-functional dependencies across data, business, and technology architectures.
3. Leadership and Collaboration: Act as a trusted advisor to stakeholders, guiding complex decisions. Collaborate with engineering, product, and professional services teams to align solutions with platform capabilities. Mentor teams, ensuring architectural best practices.
4. Problem Solving: Analyze complex client environments, troubleshoot issues, and design effective solutions, balancing client needs with project scope and timelines.
5. Business Architecture: Analyze business processes and requirements to align solutions with organizational goals. Develop strategic plans to optimize operations through technology.
6. Data Architecture: Design scalable, secure data storage solutions. Ensure compliance with data governance (e.g., GDPR) and manage data integration.

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