Own end-to-end architecture of enterprise data platforms (from design to production)
Translate business needs into concrete, scalable, and opinionated architectures
Drive architecture decisions across the full data lifecycle (ingestion → transformation → storage → semantic layer → consumption)
Lead technical design sessions and architecture workshops with senior stakeholders
Ensure architectural integrity during delivery
not just in slides, but in code and implementation
Act as technical escalation point for complex challenges across projects
Contribute hands-on when needed (e.g., prototyping, critical pipelines, IaC)
Perform architecture reviews and design validations
Define and evolve architecture patterns, standards, and best practices
Mentor engineers and architects, raising the overall technical bar

Extensive experience designing and implementing modern cloud data platforms
Strong understanding of data architecture, data engineering, and analytics platforms
Experience working with Azure-based data ecosystems
Ability to translate business requirements into practical and scalable technical architectures
Experience guiding development teams and ensuring delivery quality
Strong communication skills and the ability to lead technical discussions with senior stakeholders

Principal Solution Architect, Data & AI

Key skills