Data Solution Architect: Scale & Secure Data for RegTech

cube; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

CUBE is a global RegTech company delivering AI-powered regulatory intelligence for financial services. The Data Solution Architect will design scalable, secure data architectures and partner with engineering and product teams to drive standards, governance, and reliable deployments.

In this role you will lead data modelling, integration patterns, and performance optimisation while ensuring compliance and security requirements across global initiatives.

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

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

Data Architecture

SQL

Data Processing

Python

Cloud Platforms

Performance Optimisation

Security & Compliance

DevOps CI/CD

Technical Leadership

Cross-Team Influence

Tools

SSIS

Job description

CUBE is a global RegTech company delivering AI-powered regulatory intelligence for financial services. The Data Solution Architect will design scalable, secure data architectures and partner with engineering and product teams to drive standards, governance, and reliable deployments.

In this role you will lead data modelling, integration patterns, and performance optimisation while ensuring compliance and security requirements across global initiatives.