Principal Architect

Principal Architect

Fadata

Madrid, Spain

The role

As Principal Architect, you will operate at a strategic and hands-on level, owning architectural decisions that impact multiple products and teams. You will be a key technical authority, partnering with senior engineering leaders, product management, and executive stakeholders.

This role is suited for professionals who have already worked as Senior Architect, Lead Architect, or Principal Engineer, and are comfortable making decisions with long-term business and technical consequences.

Your responsibilities

• Own and evolve the cloud and application architecture roadmap across the organization;
• Make high-level architectural decisions affecting multiple teams and products;
• Lead the transition to microservices, event-driven, and SaaS architectures;
• Set architectural standards, guardrails, and best practices;
• Review and validate designs for critical systems and integrations;
• Act as a technical authority and escalation point for complex challenges;
• Advise senior stakeholders on technology strategy and trade-offs;
• Support strategic customer engagements and architecture discussions;
• Mentor and grow senior engineers and architects.

What you bring to the table

• Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience;
• 10+ years of experience in software engineering and system design;
• 5+ years in senior architecture or technical leadership roles;
• Proven experience designing and delivering large-scale, distributed systems;
• Strong expertise in cloud platforms and cloud-native architectures;
• Solid programming background (Java, JavaScript, and/or PL/SQL preferred);
• Deep understanding of architectural patterns, integration patterns, and system trade-offs;
• Experience working in Agile, cross-functional environments;
• Strong leadership, influence, and communication skills;
• Ability to make decisions balancing technical excellence, delivery, and business impact.
• Availability to travel

Nice to have/preferred

• Experience in enterprise or regulated industries (insurance, finance, banking, etc.);
• Background in insurance platforms or core systems;
• Knowledge of AI, Generative AI, and LLM-based architectures;
• Experience integrating AI capabilities into enterprise platforms;
• Hands-on experience with MCP (Model Context Protocol) servers, including:
  • Designing and implementing MCP servers;
  • Integrating LLMs with enterprise systems via MCP;
  • Addressing security, scalability, and governance concerns.
• Experience with event streaming, API management, DevOps, and CI/CD.