Data Solution Architect

About the role

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

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.
• 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.

Required skills

• Data Architecture
• System Design
• SQL
• Data Modelling
• ETL
• ELT
• Python
• Data Pipelines
• CI/CD
• DevOps

Nice to have

• Cloud architectures

Qualifications

• Proven experience in a data architecture, software engineering, or technical leadership role

About the Company

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