Data Architect

Quantum

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

5 days ago

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Benefits offered by this job

Private Health Care

Hybrid Working

Travel Insurance

Base Salary

Company Bonus Scheme

AI Subscription (Claude/ChatGPT/Gemini

Training Programme

Recognition & Reward Scheme

Annual Company Conference

Team Lunches & Socials

Free Coffee

Job summary

Quantum in London is seeking a Data Architect to set the design principles for our data platform and lead the architecture of QiCore, the new data warehouse. You will bring acquired businesses into QiCore and lay foundations for our AI plans.

You will own the architecture, establish governance, and work with security, privacy, and governance stakeholders to ensure data quality and scalable design, while mentoring a small team of data engineers.

Qualifications

Proven enterprise data architecture experience.
Knowledge of warehouse or lakehouse designs in production.
Hands-on data engineering with SQL and Python.
Strong understanding of PII, data privacy, access controls and governance.
Experience consolidating acquired businesses into a single data model.

Responsibilities

Own the target architecture for QiCore and act as design authority.
Define data quality standards and review work against them.
Lead migration of Rewards into the warehouse and single customer view.
Prototype pipelines and unblock engineers on design questions.
Translate business needs into data design for AI initiatives.

Skills

Enterprise architecture

Data architecture

SQL

Python

PII & data governance

Big data platforms

ETL/ELT patterns

Data modeling

Data privacy

Tools

SQL

Python

Job description

Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world's most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We've helped ambitious brands grow faster, smarter, and globally.

The Role

Our Data Engineering & AI team is growing! We're looking for a Data Architect to join our team in London.

In this role you will set the design principles for our data platform and make sure everything we build lives up to them. You'll own the architecture of QiCore, our new data warehouse, bring acquired businesses into it cleanly and lay the foundations our AI plans depend on.

Key Responsibilities

Own the target architecture for QiCore and act as design authority for every build that lands in it
Establish clear approaches to customer identity, PII, consent, data classification, retention and access controls, working with relevant security, privacy and governance stakeholders.
Lead the migration of Rewards into our warehouse and single customer view, then turn it into a repeatable pattern for future acquisitions
Define the modelling, governance and data quality standards our engineers build to, and review work against them before it ships
Stay hands-on: prototype pipelines, unblock engineers on daily design questions and lead a small team of data engineers
Translate business needs into data design with Tech, Analytics and commercial teams, so the platform is ready for our AI ambitions

About You

Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production
Hands-on data engineering: you still write SQL and Python, and can build and debug pipelines yourself
Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data
Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks
Experience consolidating acquired businesses or legacy platforms into a single data model
High standards for quality, and the clarity to explain design trade-offs to engineers and non-technical stakeholders
You thrive when working as part of a team
Comfortable in a fast-paced environment
Have excellent written and verbal English skills
Last but not least, you'll have no ego!

What You'll Get