5 of 5 Architectural Patterns Jobs in Buckinghamshire

secure cloud data platform, working with an external supplier and internal teams to build data pipelines, ingestion frameworks and integrations. * Promote data engineering standards, architectural patterns and best practices across teams. * Develop and maintain data models that support analytics, operational reporting and data products, promoting the effective … Data Factory, Azure Data Lake, Azure Synapse Analytics, Power BI, Purview* Strong Proficiency in Python, Spark, Advanced SQL.* Deep understanding of data integration patterns and ingestion frameworks e.g. CDC.* Able to think strategically about data architecture and modelling.* Knowledge of data quality, lineage and metadata management frameworks ...

integration testing, BDD) and driving automation across regression suites Design and architect solutions using CQRS (Command Query Responsibility Segregation) and event-driven architecture patterns Working within AWS (Lambda, API Gateway, IAM, event-based services) Exploring and introducing AI related efficiencies. The role: Lead Software Engineer Salary ...

integrate gameplay systems with presentation layers: ability visuals, hit feedback, audio cues, and UI responses. Technical Architecture and Performance Define coding standards, architecture patterns, and review processes for gameplay code. Ensure the codebase remains maintainable and extensible as the team and feature set grow. Profile and optimise gameplay ...

experience for custom application development Solid understanding of OAuth, IAM, JWT Experience with Git, XML, JSON, XSLT Strong knowledge of integration best practices and architectural patterns Confident communicator and strong team player Desirable: Experience with public cloud (IaaS) and associated security controls DevOps/CI-CD exposure ...

closely with product, engineering, analytics, and business leaders to transform strategic goals into robust, data-driven solutions. You will have significant autonomy to influence architectural decisions, introduce best practices, and create a lasting technical legacy across the global data ecosystem. Key Responsibilities Lead … design and evolution of scalable, secure, and reliable data architectures supporting BI, analytics, and ML workloads. Define and drive data engineering standards, architecture patterns, and best practices across teams. Influence technical strategy across engineering, product, and analytics through clear communication and stakeholder collaboration. Anticipate future data needs, balancing ...