Job Title: AI Data Architect - AWS - Snowflake
Location: London - 2 days per week in the office
Salary/Rate: £732 per day inside IR35
Start Date: 05/10/2026
Job Type: Contract - 12 months
Company Introduction
We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled AI Data Architect to join their team for a twelve-month contract.
Job Responsibilities/Objectives
You will be designing and evolving our enterprise data architecture, with a strong emphasis on enabling AI and advanced analytics.
This role is pivotal in enabling seamless data interoperability to support AI-driven innovation across the organisation.
You will collaborate with key stakeholders o ensure our data ecosystem is optimized for both operational efficiency and AI readiness.
Responsibilities:
- Lead data modernisation initiatives across our foundational data estate, collaborating closely with delivery teams to drive and guide transformation.
- Align Product, Data and Technology predictive and real-time data capabilities; designing architectures that support real-time ingestion and processing, predictive modelling and analytics. Partner with data science and engineering teams to ensure models can be operationalised at scale
- Embed privacy by design principles, ensuring compliance with data privacy regulations and ethical AI standards.
- Document and communicate data architecture, lineage, and metadata to promote transparency and facilitate reuse.
- Engage in domain learning by asking insightful questions and obtaining meaningful answers.
Required Skills/Experience
The ideal candidate will have the following:
- Enterprise thinker – See data as a connected system across the business, designing for integration, reuse, and a single coherent view
- Commercially grounded – Align architectural decisions to clear business outcomes, ensuring data investments support revenue, customer value, and operational performance.
- Pragmatic architect – Balance long-term standards with near-term delivery, applying structure and governance without slowing down execution.
- Influential leader – Build alignment across product, data, and engineering through credibility and clarity, driving decisions without relying on hierarchy.
- Future-oriented – Anticipate how data architecture must evolve to support AI, knowledge graphs, and ecosystem integration, designing for scale and adaptability
- Highly AI literate - Strong understanding of LLMs and modern AI practices, ensuring data architecture supports scalable model deployment
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
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