at Test Triangle Real Time Architect: 5+ years of experience in application integration development 2+ years of experience in Cloud Integration Services and Kafka 3 years of experience managing Confluent/Apache Kafka platforms in Cloud and/or on-premise environments Responsibilities include: Manage Kafka Cluster build, including Design, Infrastructure planning, High Availability, and Disaster Recovery Build and support More ❯
high-throughput, low-latency Kafka clusters. Lead the upgrade of existing Kafka clusters from version 3.3.1 to the latest supported version, ensuring minimal downtime and data integrity. Experience in confluent migration (link removed)> Develop and implement monitoring and alerting systems for Kafka. Troubleshoot and resolve Kafka-related issues. Participate in on-call rotation to ensure 24/7 system availability. … specific versions involved is highly desirable. Strong understanding of Kafka architecture, including topics, partitions, consumers, and producers. Experience with Kafka Connect. Experience with Kafka Zookeeper, Kraft. Experience working in Confluent Kafka. Experience in deploying the Kafka image in Kubernetes. Experience in setting up Stretched Kafka Cluster. Experience with Kafka Streams or ksqlDB a plus. Proficiency in at least one scripting More ❯
Salisbury, Wiltshire, South West, United Kingdom Hybrid / WFH Options
Anson Mccade
directly with senior stakeholders to influence architectural decisions and standards You'll bring: Proven experience as a Lead Data Architect or Senior Data Solutions Architect Expertise in Kafka/Confluent , Databricks , Unity Catalog , and modern data lake/lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
key metrics to ensure platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture in fast-paced More ❯
