Data Architect

Quantum

. Set design principles for the data platform .

Posted 9/29/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture and engineering, with a strong focus on data governance, privacy, and quality standards. Proficient in SQL and Python, capable of leading teams and translating business needs into effective data solutions.

Highest-signal resume keywords

Data Architecture ExperienceHands-On Data EngineeringPII and Data Privacy KnowledgeBig Data Platforms ExpertiseData Governance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData EngineeringData ModelingETLELTData Quality StandardsData MigrationData ClassificationAccess Control

Soft Skills

Team CollaborationCommunication SkillsProblem-SolvingAdaptabilityStakeholder Engagement

Tools & Technologies

Data WarehouseData LakehouseData Governance ToolsAI PlatformsData Pipelines

Industry Keywords

Customer IdentityData RetentionData PrivacyGovernance StakeholdersData Acquisition

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Set design principles for the data platform
Own the architecture of QiCore, the company’s new data warehouse
Act as design authority for builds landing in QiCore
Establish approaches to customer identity, PII, consent, data classification, retention and access controls
Work with security, privacy and governance stakeholders
Lead migration of Rewards into the warehouse and single customer view
Create a repeatable migration pattern for future acquisitions
Define modelling, governance and data quality standards
Review engineering work against standards before release
Prototype pipelines and unblock engineers on daily design questions
Lead a small team of data engineers
Translate business needs into data design with Technology, Analytics and commercial teams
Prepare the platform for AI initiatives

Requirements

What you’ll need

Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production
Hands-on data engineering experience; able to write SQL and Python and build and debug pipelines independently
Strong understanding of PII, data privacy, access control and governance
Experience designing solutions for 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 ability to explain design trade-offs to engineers and non-technical stakeholders
Excellent written and verbal English skills
Ability to work as part of a team
Comfortable in a fast-paced environment

Benefits

Comp & perks

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