Data Modelling Architect

The Data & Analytics team is undertaking a major transformation to migrate from a fragmented legacy estate to a scalable, cloud native, Unified Data Platform.

The Data "Modelling" Architect plays a critical role in the Data Architecture squad, working closely with the Lead Data Architect to design scalable, governed, and reusable data solutions that support enterprise reporting, analytics, AI, and data product initiatives.

This role is ideally suited to someone with a strong foundation in data modelling, analytics and cloud & data platforms who is keen to develop their architecture skills. You will help design and evolve governed data products, while developing expertise in Data Vault 2.0, ensuring that data ingestion, processing and consumption are fully governed, reducing "Shadow D&A" practices, retiring legacy technical debt and contributing to a trusted, scalable, audit-ready data platform that supports analytics and AI.

Key Roles & Responsibilities

• Design and maintain conceptual and logical data models for the Unified Data Platform (UDP), ensuring they meet business needs and data governance standards.
• Design and develop scalable data solutions across the silver and gold layers, creating trusted and reusable datasets for analytics, reporting, and AI use cases.
• Define and maintain data architecture standards, modelling patterns, and best practices to ensure data is consistent, governed, and ready for business consumption.
• Work closely with engineers, product owners, business analysts, and stakeholders to understand requirements and translate them into effective data solutions.
• Support the migration of data from legacy platforms (such as Oracle and Teradata) into the new cloud-based Unified Data Platform using modern Lakehouse and Data Vault approaches.
• Implement data governance standards, including metadata management, lineage and data quality rules, to ensure "Gold Standard" datasets.
• Provide architectural consultancy to agile delivery squads, ensuring solutions adhere to architectural policies and practices.
• Continuously learn and apply modern data architecture, cloud, modelling, analytics, and AI best practices.
• Demonstrate curiosity, innovation, and a growth mindset while contributing to the organisation's data transformation journey.

Job Requirements, Knowledge & Experience

• Data modelling, Data warehousing or analytics engineering, with a strong understanding of data modelling concepts. Exposure to Data Vault 2.0 and an interest in learning Data Vault methodologies would be advantageous.
• Good understanding of modern data platforms, Lakehouse architecture, cloud technologies and data warehousing concepts.
• Expertise working with enterprise data platforms and integrating data from multiple source systems.
• Experience supporting data platform modernisation, migration or transformation initiatives is advantageous.
• Understanding of data governance practices, including metadata management, data lineage, and data quality controls.
• Strong SQL and data transformation skills, with experience creating datasets that support reporting, analytics, and self-service data consumption.
• Ability to translate business requirements into practical, scalable, and maintainable data solutions.
• Experience working with business and technical stakeholders to deliver data-driven solutions.
• Knowledge of BigQuery, GCP, dimensional modelling, semantic models, or modern analytics platforms would be beneficial.
• Interest in modern data architecture, AI, machine learning, and emerging data technologies.
• Strong problem-solving, communication, and stakeholder management skills.
• Demonstrates curiosity, a growth mindset, and a willingness to learn new technologies, tools, and modelling approaches.

Worried that you don’t meet all the desired criteria exactly?

We know that everyone is unique, with multiple aspects to their identity and different experiences behind them. We are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.

Posting End Date: 2nd October

Need to know

We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulators standards.

We believe everyone should have the opportunity to interview for a role that matches their skills. In collaboration with our Talent, Diversity & Inclusion teams and our employee-led DEI Networks, we identified a range of reasonable adjustments to help you feel comfortable and perform at your best self during the interview process. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please contact your recruiter directly or email [email protected] for guidance.

We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. We know many candidates use AI to fine-tune their CVs or prepare for interviews, but what we really care about is your unique experiences and achievements.

During the interview, we want you to rely on your own knowledge and skills to show us who you really are—your personality, creativity, and abilities. Above all, we’re looking for authenticity and can’t wait to get to know the real you.

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