Data Architect
- Level
- Lead
- Work type
- Hybrid · London
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
Quantum's standard text
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
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market-Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks
Quantum's standard text
What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.
What this role asks for
Standard for data engineering roles
Data Warehousing · ETL · Python
Common in data engineering postings at any company.
In most of Quantum's ads
SQL
Named in most of its open postings, whatever the role.
69% of this description is written for the role. The rest is Quantum's standard text, folded away below.
Read against Quantum's other open postings on this site.
The team: Data Engineering & AI
This role is one of 3 open in Data Engineering & AI. 3 were posted in the last 30 days.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Data Warehousing (2 of 3), ETL (2 of 3), Python (2 of 3), SQL (2 of 3)
OTHER ROLES ON THIS TEAM
- Head of Data Engineering posted Oct 5
- Data Engineer posted Sep 29
From the team and dates on Quantum's own job board.
Salary context
13 other open postings titled Data Architect state a salary: median USD 130,000 to USD 188,000 a year.
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