3 of 3 Integration Patterns Jobs in Kent

govern, and consume data products both safely and quickly across batch, streaming and analyst-driven workflows. This includes enabling workflow automation and configurable data integration with resilient operation in Denied, Degraded, Intermittent and Limited (DDIL) communications environments supporting edge deployments.Your responsibilities will include:Designing, implementing, and evolving the event … driven data fabric architecture that enables automation and downstream AI-based systems: ingestion, integration, storage, processing, metadata, governance, and access patterns aligned to customer outcomes and security constraintsSupporting with building and operating workflow automation capabilities that enable repeatable, governed analyst workflows (reusable patterns, configuration-driven behaviours ...

development and evolution of data architecture, technology and tooling in line with the wider software strategy Design and document data architecture solutions, patterns and models that meet business and technical requirements Support architecture initiatives, roadmap activities and delivery across assigned projects and workstreams Collaborate with software engineers, product owners … knowledge sharing to less experienced team members Experience required Experience designing and delivering data solutions, contributing to data architecture and applying established design patterns Strong understanding of data migration, data analysis, data modelling, data integration patterns and data lifecycle management Experience with master data, operational data stores ...

ensure the reliability, performance, and continual improvement of our data platforms. Other accountabilities will include: Investigating performance bottlenecks across customer data processing and integration flows. Improving SQL code, stored procedures, and data-processing logic to support efficient delivery. Leading complex performance analysis activities and translate findings into practical engineering … improvements. Supporting delivery teams in shaping efficient data models, data flows, and integration patterns. Helping ensure customer data services are engineered to meet performance, security, and quality expectations. Providing technical input into solution decisions that affect data quality, partner integrations, and strategic delivery. Identifying opportunities to improve the efficiency ...