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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Solution Architect - **Company:** CUBE - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computing Platforms, Cloud Computing, Computer Programming, Continuous Integration, Data Architecture, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Structures, Data Systems, Database Queries, DevOps, Distributed Data Store, Fault Tolerance, Python (Programming Language), Software Engineering, SQL Databases, SQL Server Integration Services, Data Processing, Cloud Platform System, Delivery Pipeline, Low Latency, Deployment Automation, Operational Systems, Data Pipelines, Programming Languages - **Published:** July 30, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=2e1861e5b54a6138 ## About the Role * 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., * 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. ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)