Data Architect - AI

Lead Data Architect – AI, ML & Data Engineering

Location: Remote (UK-based)

£125k per year

The Opportunity

We’re partnering with a fast-growing EdTech organisation embarking on a major digital transformation. They are looking for a Lead Data Architect to define and drive their modern data platform, AI and ML strategy.

This is a high-impact leadership role where you’ll shape the future of data across a SaaS product ecosystem used by thousands of learners and educators.

The Role

You will own the end-to-end data architecture, helping transform a legacy estate into a scalable, AI-ready platform. You’ll work closely with engineering, product, analytics and executive stakeholders to build a modern data foundation that powers advanced analytics, personalisation and machine learning.

Key responsibilities:

• Define and deliver the enterprise data architecture and roadmap
• Lead the design of a modern cloud data platform (lakehouse / warehouse / streaming)
• Architect data solutions to support AI and ML product capabilities
• Establish best practices in data governance, modelling, quality and security
• Mentor and guide data engineers, ML engineers and analysts
• Partner with senior stakeholders to align data strategy with business outcomes
• Support vendor selection and tooling decisions

Essential experience

• Proven experience as a Data Architect or Principal Data Engineer
• Strong hands-on background in data engineering
• Experience designing AI/ML-ready data platforms
• Experience leading digital transformation or platform modernisation
• Strong experience in SaaS and/or B2B/B2C product environments
• Excellent stakeholder management and leadership skills

Technical expertise

• Cloud platforms (AWS, GCP or Azure)
• Modern data stack:
• Data lakes / lakehouse / data warehouse architectures
• Batch and streaming pipelines
• Data modelling and governance
• Experience supporting ML workflows and MLOps
• Strong knowledge of SQL and at least one modern data language (Python/Scala)

Nice to have

• EdTech experience
• Experience building personalisation or recommendation systems
• Experience scaling data platforms in high-growth environments

Why this role?

• Greenfield architecture decisions
• Strategic leadership and hands-on influence
• High-growth, mission-driven EdTech business