Data Architect

Square One Resources; Greater London; Hybrid; GBP 117,000 - 153,000; Full time

Job summary

Square One Resources is seeking an AI Data Architect to design and evolve enterprise data architecture with a focus on AI and analytics. The role requires collaboration with product, data and engineering teams to enable seamless data interoperability and scalable AI deployment.

The London-based position is a contract for 12 months, with 2 days per week in the office. The candidate should be comfortable working across data governance, privacy by design, and real-time data capabilities.

Qualifications

• Experience designing scalable enterprise data architectures.
• Strong ability to enable AI and real-time analytics at scale.
• Ability to embed privacy by design and regulatory compliance.
• Excellent communication of complex architecture to non‑technical stakeholders.

Responsibilities

• Lead data modernisation initiatives across the data estate with delivery teams.
• Design architectures for real-time ingestion, predictive modelling and analytics; collaborate with data science teams.
• Embed privacy by design and ensure ethical AI standards.
• Document data architecture, lineage and metadata to promote transparency.
• Ask insightful questions to drive domain understanding and alignment.

Skills

Architectural thinking

AI/ML literacy

Data architecture

AWS

Snowflake

Stakeholder engagement

Tools

AWS

Snowflake

Job description

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

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.

Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.