Senior Data Architect – AI Transformation

About the role

We are looking for a Senior Data Architect to lead the design and delivery of AI‑native, cloud‑native solutions for our global clients. You will shape the technical vision, work closely with stakeholders, and mentor engineering teams across multiple regions.

Key responsibilities

• Own solution architecture from design through implementation and deployment.
• Define technical vision, architecture strategy, standards, and roadmap.
• Work with stakeholders to understand business, functional, and non‑functional requirements.
• Design scalable, secure, and cloud‑native solutions, especially on AWS.
• Evaluate emerging technologies and identify opportunities to leverage AI/GenAI.
• Identify architectural risks and define mitigation strategies.
• Provide technical leadership, conduct architecture/code reviews, and mentor engineering teams.
• Collaborate with global teams and communicate technical concepts clearly to clients.

Required profile

• 15+ years of IT experience, including 5+ years as a Software, Solution or Enterprise Architect.
• Strong solution‑architect mindset with experience across multiple technology stacks.
• Proven experience designing and delivering cloud‑native solutions on AWS.
• Background or exposure to AI tools and technologies.
• Experience with DevOps, CI/CD, and cloud deployment practices.
• Familiarity with SDLC, architectural patterns, and scalable distributed systems.
• Experience with UML, C4, or ArchiMate modeling.
• Excellent English communication and client‑facing skills.
• Preferred certifications: AWS Solutions Architect, TOGAF.

Required skills

• AWS Cloud services.
• AI/GenAI tools and technologies.
• DevOps and CI/CD pipelines.
• Cloud deployment and scalability practices.
• UML, C4, ArchiMate modeling.
• Data Architecture, Data Modeling, ETL processes.
• SaaS and cloud‑native architecture.
• AWS Solutions Architect certification.
• TOGAF certification.

What we offer

• Flexible remote‑first work environment (office, home or hybrid).
• Global, multicultural team with daily English collaboration.
• Well‑being programs including fitness, mental‑health support and generous time off.
• Opportunities for rapid career growth across projects, offerings and industries.
• Commitment to diversity, equal opportunity and inclusive culture.