Data Architect in London

Data Architect in London

London Full-Time 60000 - 80000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design of a cutting-edge data architecture for market data products.
  • Company: Join a forward-thinking company focused on innovative data solutions.
  • Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
  • Other info: Collaborate with senior leaders and work in a dynamic, inclusive environment.
  • Why this job: Make a real impact by shaping the future of data architecture.
  • Qualifications: Experience in data modelling and cloud platforms like Google BigQuery required.

The predicted salary is between 60000 - 80000 £ per year.

This role can be filled via fixed term contract or via daily rate (Inside IR35) via umbrella company. Initially 3 months with the potential for expansion. This role can be based in either our London or Haddenham office.

Department: Data

Location: Haddenham

Role Overview

This is a focused, high‑value engagement to lead the data architecture of Defaqto's redesigned market data model. We have an initial view of the logical structure we need, and we are looking for an experienced architect to test, challenge, and refine that thinking – then translate it into a signed‑off logical model and implementation recommendations for the CTO and Head of Data to act on.

Key Responsibilities

  • Logical model design for the market data product estate – core entities, relationships, and attributes
  • Technology implementation recommendation – physical implementation approach suited to the existing stack, presented to CTO and Head of Data
  • Compatibility view specification for research platform continuity during transition
  • Business rule formalisation for deduplication, ratings hierarchy, and attribute priority logic
  • Stakeholder workshops and sign‑off facilitation
  • Data dictionary and handover documentation

Essential Requirements Skills, Knowledge and Expertise

  • Demonstrable experience leading logical and physical data model design for analytical data warehouses
  • Strong command of entity‑relationship modelling, normalisation, and dimensional design
  • Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‑on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected
  • Ability to produce technology‑agnostic logical models and translate them into well‑reasoned implementation recommendations
  • Proven ability to facilitate workshops with mixed technical and non‑technical stakeholders and produce signed‑off artefacts
  • Experience producing data dictionaries and technical documentation to a standard usable by engineering teams
  • Comfortable presenting architecture options and trade‑offs to senior technology leadership
  • Ability to work independently and manage delivery to milestone‑based timelines

Desirable Requirements

  • Experience in financial services, insurance, or fintech data domains
  • Familiarity with dbt – sufficient to design a schema that a dbt‑based transformation layer can implement effectively
  • Experience designing compatibility or migration layers for legacy platform transitions
  • Exposure to data cataloguing tools (Google Dataplex, DataHub, Atlan)
  • Understanding of product data or market intelligence data structures
  • Experience working within a phased, non‑big‑bang migration approach

Benefits

This is a hybrid working role usually with 2 days each week in the office – office base can be London or Haddenham. From time‑to‑time if there are workshops, you may need to be in the office more frequently.

Right to Work

Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.

EEO Statement

Fintel plc and all the businesses within it adopt a zero‑tolerance approach to discrimination on any of the protected grounds in the Equality Act 2010. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do.

Data Architect in London employer: Defaqto

Defaqto is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where collaboration and innovation thrive. Located in the vibrant city of London, employees benefit from a hybrid working model that promotes work-life balance while engaging with leading financial advice firms to drive impactful client outcomes. With a strong focus on professional development and a commitment to fostering meaningful relationships, Defaqto provides a rewarding environment for those passionate about customer success in the financial services sector.

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Contact Details:

Defaqto Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect in London

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We think you need these skills to ace Data Architect in London

Data Architecture
Logical Model Design
Entity-Relationship Modelling
Normalisation
Dimensional Design
Google BigQuery
Cloud Data Warehouse Platforms

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Defaqto. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Defaqto

✨Brush Up on Your Statistics

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