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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - AWS & Azure - **Company:** UBDS Group - **Location:** London, United Kingdom - **Experience:** Expert - **Salary:** £62,994 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Storage, Cyber Security, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, DevOps, Distributed Computing Environment, Fraud Prevention and Detection, Python (Programming Language), Meta-Data Management, Performance Tuning, Cloud Services, Software Construction, Software Engineering, SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Data Ingestion, Azure Data Factory, Apache Spark, Multi-Cloud, Parallel Computation, Electronic Medical Records, Gitlab, Event Driven Architecture, Containerization, Data Lakes, Infrastructure Automation Frameworks, Deployment Automation, Real Time Data, Apache Kafka, Data Management, Video Streaming, Functional Programming, Terraform, Data Pipelines, Serverless Computing - **Published:** November 10, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5958993193 ## About the Role * Strong experience as a Data Architect, Cloud Data Architect or Senior Data Engineer with architectural responsibilities. * Proven hands-on experience designing and delivering data solutions across both AWS and Microsoft Azure. * Strong understanding of cloud data architecture, data integration and distributed data processing. * Experience designing and implementing automated ETL/ELT pipelines. * Experience with Apache Spark or equivalent distributed data processing technologies. * Experience designing event-driven architectures and data processing workflows. * Strong understanding of data pipeline orchestration, performance optimisation and parallel processing. * Experience integrating cloud-based platforms with on-premises data sources. * Hands-on knowledge of AWS services such as EC2, EMR, S3 and Lambda. * Experience with Azure data storage and processing services, including Azure Blob Storage. * Good understanding of AWS and Azure networking, security and connectivity. * Experience with Infrastructure as Code, particularly Terraform. * Experience using GitLab and implementing CI/CD pipelines. * Strong understanding of software engineering principles, automation and DevOps practices. * Ability to translate business and technical requirements into scalable, secure and maintainable data architectures. * Strong stakeholder engagement and communication skills. Experience across some of the following would be beneficial: * Designing data platforms supporting fraud detection, risk assessment or advanced analytics. * Streaming technologies such as Kafka, AWS Kinesis or Azure Event Hubs. * Serverless and event-driven data processing architectures. * Data lake, lakehouse and modern data platform architectures. * Self-service data ingestion and ETL frameworks. * Python, SQL or other data engineering languages. * Data governance, lineage, metadata management and data quality. * Experience with large-scale or highly regulated data environments. * Experience delivering data solutions within Government, Defence or wider public-sector organisations. Due to the security requirements of the assignment, candidates must hold current SC (Security Check) clearance prior to commencing the role. Candidates must also be able to maintain the required level of security clearance for the duration of the assignment. This role would suit an experienced Data Architect who enjoys combining architectural ownership with hands-on technical delivery. ## Description This is a hands-on architecture role with a strong focus on multi-cloud data engineering, automated data pipelines and event-driven architectures. You will work across both AWS and Microsoft Azure, designing secure, resilient and high-performing data solutions that integrate cloud and on-premises data sources. Working closely with Data Engineers, Cloud Architects, Software Engineers and delivery teams, you will provide technical leadership while remaining actively involved in the design, development and implementation of data solutions. * Design and deliver scalable data architectures across AWS and Azure environments. * Define and implement automated data pipelines using cloud-native technologies and frameworks such as Apache Spark. * Design data integration solutions connecting cloud platforms with on-premises data sources. * Establish event-driven architectures to support efficient data processing, workflow orchestration and near-real-time data availability. * Optimise data pipelines for performance, parallelisation, reliability and scalability. * Design data processing capabilities that support early identification of fraud risks and other analytical use cases. * Develop scalable approaches and tooling to enable self-service ETL and the onboarding of new data assets. * Define data access, storage, integration and processing patterns across multi-cloud environments. * Provide architectural guidance across AWS and Azure services, including EC2, EMR, S3, Lambda and Azure Blob Storage. * Work with Cloud and Infrastructure teams to ensure appropriate networking, connectivity, security and access controls. * Champion DevOps and software engineering best practices, including Infrastructure as Code, CI/CD and automated deployments. * Support the use of Terraform, GitLab and automation tooling across data platform delivery. * Produce architecture documentation, technical designs and implementation guidance. * Engage with technical and business stakeholders to translate complex data requirements into practical solutions. * Provide technical leadership and guidance to Data Engineers and wider delivery teams., You will work across complex AWS and Azure environments, helping design and modernise data platforms that enable efficient data processing, integration and advanced analytical capabilities. You'll collaborate with experienced Data, Cloud, Cyber Security and Engineering specialists while playing an important role in delivering secure, scalable and high-performing data solutions for our customers., At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.