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Data Architect

TriaLondon🇬🇧United KingdomPosted 23 May 2026

Why This Role Stands Out

This on-site Data Architect role offers a fantastic opportunity to shape enterprise-wide data strategy and drive significant technology transformation within a leading organization. You'll thrive here if you possess strong data architecture experience, particularly with Databricks and cloud platforms, and are eager to contribute to large-scale data migrations. Apply now to take ownership of critical data initiatives and advance your career in a dynamic environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
GCPSQLAWSETLSnowflakeApacheAzureDatabricksVault

Job Description

Data Architect

Competitive Salary + 20% Bonus + Car Allowance

Central London - Hybrid, 3 days per week in the office

35-hour Working Week - Flexible Hours

We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. This is a brand-new role within the business, reporting into the Group Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation.

Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies.

We are looking for:

  • Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions
  • Proficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills
  • Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial
  • A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures
  • Expopsure to data governance frameworks, metadata management, and regulatory complianc

It would be a bonus if you have:

  • Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures, or data observability tooling
  • Experience leading architecture workshops with both technical and non-technical stakeholders
  • A background providing technical mentorship to BI Engineers or Developers

To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.

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