Data Solution Architect

CUBE

. Define and own end-to-end data solution architectures for scalability, performance, security, and maintainability .

Posted 10/9/2026full-timeLondon • United KingdomSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and implementing scalable data architectures, ensuring compliance with security and regulatory standards while providing technical leadership across cross-functional teams. Proficient in data modelling, system design, and the use of modern data platforms to drive performance and reliability.

Highest-signal resume keywords

Data ArchitectureSQLData ModellingTechnical LeadershipETL Tools

ATS Keywords

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Hard Skills

Data ArchitectureData ModellingSystem DesignSQLData ProcessingPythonETL ToolsCI/CDPerformance TuningRegulatory Compliance

Soft Skills

Strong CommunicationTechnical Guidance

Tools & Technologies

SSISCloud-Based ArchitecturesAutomated Build Tools

Industry Keywords

Financial ServicesData ProtectionRegulatory RequirementsAI-Powered Solutions

Tech Stack

Tools & technologies

CloudETLPythonSQLSSIS

About the role

Key responsibilities & impact

Define and own end-to-end data solution architectures for scalability, performance, security, and maintainability
Translate business and product requirements into architectural designs aligned with enterprise standards and future scalability
Define and enforce data architecture standards, including data modelling, integration patterns, and system design
Provide technical leadership and guidance to engineering teams
Review and approve solution designs, code, and implementations
Ensure performance and reliability benchmarks are met, including throughput, latency, and fault tolerance
Identify and resolve complex technical issues, performance bottlenecks, and architectural limitations
Drive improvements through refactoring and architectural evolution
Define and support CI/CD, testing, and deployment strategies
Ensure compliance with security, privacy, and regulatory requirements
Maintain architectural documentation, decision records, and operational guidance
Collaborate with engineering, product, data, cross-functional, and global teams on architecture, standards, dependencies, and delivery priorities
Develop solutions supporting CUBE's AI-powered regulatory intelligence SaaS products for the financial services industry

Requirements

What you’ll need

Typically 7+ years of experience in data architecture, software engineering, or technical leadership
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 with data pipeline and ETL tools, such as SSIS or equivalent
Experience with programming languages such as 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
Strong experience designing scalable, distributed data systems, including data models, storage, and processing layers
Familiarity with modern data platforms and cloud-based architectures
Ability to design and tune systems for performance, reliability, and scalability
Strong understanding of secure system design, data protection, and regulatory requirements
Experience implementing automated build, test, and deployment pipelines
Willingness to work from the London office 10 days per month
Located within a 1.5-hour commute from London
Ability to work in the UK, with sponsorship requirements disclosed
Resume/CV submission required

Benefits

Comp & perks

Equal opportunity employer
Inclusive and diverse working environment
Professional and personal development opportunities
Hybrid working arrangement with London office access