Expert knowledge of SQL and/or NoSQL database technologies Expert knowledge of various messaging protocols and technologies such as REST, HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore, Knowledge of modern More ❯
high-quality software that drives impact, we run our own services. Our current technical stack includes: backend services are containerised and provisioned into ECS clusters, service communication via Kafka (Confluent Cloud), infrastructure automation with Pulumi (Typescript), our infrastructure is hosted at AWS (most used: ECS, S3, DynamoDB, Aurora, OpenSearch), Github Actions for builds and workflow automation, DataDog for monitoring and More ❯
our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected 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 ❯
labs domain (Pre-Clinical and CMC) and in the digitalization of technical process development through modeling, including the end-to-end digital process setup, testing and maintenance. Experience in Confluent Kafka, Mendix, MS Azure stack and Agile tool kits such as JIRA or Azure DevOps. Experience of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including More ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Montash
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 ❯
