Data Platform Architect
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AI Summary
The role involves designing and evolving scalable, secure enterprise data and AI platforms with a focus on Generative AI and MLOps. The architect will define best practices and ensure architectural consistency across multiple parallel initiatives.
This is a remote position.
On behalf of our Client, the UK branch of a global consulting company, we are looking for a: 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
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