Data Platform Architect

We are seeking an experienced Data Platform Architect to support the design and evolution of modern data and AI platforms, with a strong focus on Generative AI, MLOps, and advanced analytics. The role requires building scalable, secure, and future-ready solutions aligned with enterprise standards.

RESPONSIBILITIES:

• Providing end-to-end architectural support across GenAI platforms, MLOps, and advanced analytics ecosystems
• Designing scalable, secure, and enterprise-grade data and AI platform solutions
• Ensuring architectural consistency across multiple parallel initiatives
• Driving platform sustainability, scalability, and operational excellence
• Collaborating with cross-functional teams (data, AI, engineering, business stakeholders)
• Defining best practices, standards, and architectural guidelines for AI and data platforms

Requirements

• 8+ years of experience in data/AI engineering, including min. 3–5 years in an architectural role
• Proven experience as a Data / AI / ML Architect or similar role
• Strong understanding of Generative AI (LLMs), MLOps, and modern data platforms
• Experience designing scalable and secure enterprise solutions
• Hands-on experience with cloud platforms (Azure, AWS or GCP)
• Familiarity with tools such as Databricks, MLflow, Azure ML, SageMaker or similar
• Strong stakeholder management and communication skills
• Ability to work across multiple projects and priorities
• Fluent English