Data Platform Architect
Summary
This role involves designing and evolving modern data and AI platforms, focusing on Generative AI and MLOps, with responsibilities including architectural support, designing scalable solutions, and collaborating with cross-functional teams.
This is a remote position.
- 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