Data Platform Architect
Look4IT
This senior role is a stretch opportunity if you've spent 3–5 years building data or AI systems and want to move into architecture. You'll design platforms that shape how a global consulting firm handles AI and analytics at scale—real influence on technical direction.
Your work covers end-to-end architecture for Generative AI platforms, MLOps, and advanced analytics. You'll define standards and best practices, ensure designs stay secure and scalable, and partner with data engineers, ML teams, and business stakeholders to keep multiple initiatives aligned. It's less about hands-on coding and more about deciding how systems fit together.
This fits you if you have 8+ years in data or AI engineering, at least 3–5 in an architectural or lead role, and solid experience with Generative AI. You should understand how to build secure, enterprise-grade solutions. A portfolio showing platform work or architectural decisions—not just individual projects—helps your case.
The role is fully remote and based with a UK consulting firm. Apply through CareerJumpShip with your resume, a brief note on your biggest platform design or architecture decision, and links to your work (GitHub, blog posts, case studies if you have them).
About this role
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 Originally posted on Himalayas
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