---
title: 'Data Solution Architect at CUBE'
canonical: 'https://feeny.ai/job/data-solution-architect-cube-london-e7470cphhwm9'
type: 'job'
last_seen: '2026-09-09'
---

# Data Solution Architect at CUBE

- **Company:** CUBE
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/cube/fe84b6cf-8791-4669-96ff-8ec041edb604

## Job description

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.

Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

## Role Mission

The Data Solution Architect defines and owns the design of scalable, secure, and high-performing data solutions that support customer and operational systems. This role is responsible for setting architectural direction, ensuring alignment with business needs, and guiding teams to deliver robust, production-grade solutions.

The Data Solution Architect works across engineering, product, and data teams to ensure solutions are well-designed, maintainable, and aligned with standards for performance, security, and governance.

## Key Responsibilities

- Design and own end-to-end data solution architectures that meet defined requirements for scalability, performance, security, and maintainability.
- Translate complex business and product requirements into clear architectural designs, ensuring alignment with enterprise standards and future scalability needs.
- Define and enforce technical standards for data architecture, including data modelling, integration patterns, and system design.
- Provide technical leadership and guidance to engineering teams, supporting implementation and ensuring adherence to architectural principles.
- Review and approve solution designs, code, and implementations to ensure quality, consistency, and alignment with standards.
- Ensure solutions meet defined performance and reliability benchmarks (e.g. system throughput, latency, fault tolerance).
- Lead the identification and resolution of complex technical issues, including performance bottlenecks and architectural limitations.
- Drive improvements in system design, scalability, and maintainability through proactive refactoring and architectural evolution.
- Define and support implementation of CI/CD, testing, and deployment strategies to ensure reliable and efficient delivery.
- Ensure all solutions adhere to security, privacy, and compliance requirements, including secure data handling practices.
- Maintain clear architectural documentation, including system designs, decision records, and operational guidance.
- Collaborate with cross-functional and global teams to align on architecture, standards, and delivery priorities.

## Skills & Competencies

- Data Architecture & System Design – Strong experience designing scalable, distributed data systems, including data models, storage, and processing layers.
- SQL & Data Processing – Deep understanding of SQL and data querying, with ability to design efficient data structures and transformations.
- Data Integration & Pipelines (ETL/ELT) – Expertise in designing and optimising data pipelines (e.g. SSIS or equivalent tools and frameworks).
- Programming (e.g. Python) – Experience using Python or similar languages for data processing, automation, or pipeline development.
- Cloud & Platform Technologies – Familiarity with modern data platforms and cloud-based architectures (desirable).
- Performance & Scalability Optimisation – Ability to design and tune systems to meet performance, reliability, and scalability requirements.
- Security & Compliance – Strong understanding of secure system design, data protection, and regulatory requirements.
- DevOps & CI/CD – Experience implementing automated build, test, and deployment pipelines to support reliable delivery.
- Technical Leadership – Provides architectural guidance, reviews work, and supports teams in delivering high-quality solutions.
- Cross-Team Influence – Works across teams and regions to align on standards, resolve dependencies, and drive consistency.

Required Experience & Qualifications

- Proven experience in a data architecture, software engineering, or technical leadership role (typically 7+ years).
- Strong experience designing and delivering scalable data solutions in production environments.
- Expertise in data modelling, system design, and integration patterns.
- Strong experience with SQL and data processing at scale.
- Experience working with data pipeline and ETL tools (e.g. SSIS or equivalent).
- Experience with programming languages (e.g. Python) for data processing or automation.
- Experience defining or contributing to technical standards and architecture frameworks.
- Proven ability to lead technical design and guide delivery across teams.
- Strong communication skills, including translating technical concepts for non-technical stakeholders

Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.​ CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

## About CUBE

## Company Overview
- **One-liner**: CUBE provides Automated Regulatory Intelligence (ARI) solutions powered by a purpose-built AI engine (RegBrain), helping regulated firms across banking, insurance, and asset management stay compliant with ever-changing global regulations.
- **Entity Type**: Private (Private Equity backed; latest round led by Hg in March 2024)
- **Headquarters**: London, United Kingdom
- **Founded**: 2011
- **Founders**: Ben Richmond (CEO)

## Core Business
- **Primary industry**: RegTech (Regulatory Technology) – also classified as Technology, Information and Internet.
- **Target customers**: B2B – primarily Tier 1 & Tier 2 banks, insurers, asset/investment managers, payment firms; approximately 1,000 customers worldwide.
- **Mission / Purpose**: “To empower every regulated firm with the business intelligence to meet complex compliance challenges.”

## Products & Services
- **CUBE RegPlatform**: An end-to-end automated regulatory intelligence platform that captures, standardises, and contextualises regulatory data across financial crime, cybersecurity, privacy, tech risk, and more. Maps content onto customers’ compliance frameworks.
- **RegBrain**: Purpose-built AI engine (combining computer vision, generative AI, machine learning, and NLP) that tracks, analyses, and monitors laws, rules, and regulations in every country and published language, delivering always up-to-date regulatory views.
- **Regulatory Change Management (RCM)**: Services and tools to help clients manage regulatory updates and adapt their compliance posture.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric (Private)**: Total funding includes at least two major Private Equity rounds (led by Hg and Bregal Milestone). Reported annual revenue of GBP 2.7 million (likely an older or partial figure; reliable current revenue not publicly available).
- **Notable Investors / Partners**: Hg (lead in 2024 round), Bregal Milestone (lead in 2022 round). Also acquired Acin (2023) and The Hub.
- **Growth Signals**:
  - Global footprint across 6 main hubs, operating in 25 countries.
  - Employee count fluctuates between ~550 (LinkedIn) and ~700+ (company site), with 22 active job postings (as of mid-2025).
  - Recent acquisition of Acin and The Hub expanded capabilities and customer base.
  - Named market leader for regulatory intelligence; first deal with a Tier 1 US global bank in 2016 and deployed “the world’s biggest regulatory intelligence platform” at a major financial institution.

## Competitive Advantages
- **AI‐driven regulatory intelligence** – RegBrain automates the tracking, analysis, and monitoring of regulations across jurisdictions and languages, reducing manual effort and risk of missing changes.
- **Global coverage** – Covers regulations in every country and published language, a significant barrier for competitors.
- **End‑to‑end solution** – From data capture to compliance framework mapping, reducing the need for multiple vendors.
- **Expert‑validated insights** – Combines AI with human regulatory experts to ensure accuracy and context.

## Strategic Focus
- Expanding AI capabilities – further development of RegBrain, including agentic AI and generative AI features.
- Deepening content coverage and data quality across all regulated sectors.
- Growing the customer base beyond financial services into adjacent highly regulated industries.
- Strengthening global presence through strategic acquisitions (e.g., Acin, The Hub) and organic hiring.

## Why Work Here
- **Mission‑driven culture** – Emphasises “make it happen” mentality, giving employees autonomy to innovate and shape the company’s future.
- **Remote / Hybrid flexibility** – Many roles are listed as fully remote or hybrid (London hub). Global team across 19+ countries.
- **Development focus** – “Unlock endless opportunities for growth, collaboration and innovation”; internal mobility and skill‑building encouraged.
- **Diversity & Inclusion** – Actively collects DE&I data to improve hiring practices; values inclusive environment.
- **Engineering & AI‑heavy** – Large technical team (138 in Tech, 75 in Research, 51 in Product) working at the forefront of AI/ML applied to regulatory data.

## Sources
1. [cube.global – About Us](https://cube.global/about-us)
2. [cube.global – Careers page](https://cube.global/about-us/careers)
3. [careers.cube.global – main careers site](https://careers.cube.global/)
4. [LinkedIn – CUBE company profile](https://www.linkedin.com/company/cube-global)
5. [jobs.ashbyhq.com/CUBE](https://jobs.ashbyhq.com/CUBE)

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