5 of 5 Confluent Jobs in the UK excluding London

Agile environments (Scrum, Kanban, SAFe) with strong architectural governance Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL More ❯

solutions. Key Responsibilities: Lead cross-functional teams to deliver scalable data solutions across cloud platforms Architect data lakes, lakehouses, and event-driven systems using tools like Databricks, Kafka, and Confluent Apply Data Mesh and Data Fabric principles to modern data architectures Define and implement data product strategies with a product-led mindset Ensure compliance with data governance and security standards More ❯

or similar senior role. Strong consulting background with full lifecycle delivery experience. Ability to lead architectural strategy and oversee implementation. Architectural Expertise Deep knowledge of event-driven architectures (Kafka, Confluent). Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake More ❯

solution architecture delivery. Ensure robust governance, security, and performance standards. Requirements: Recent experience as a Lead Data Solution Architect or equivalent. Skilled in streaming/event-driven architectures (Kafka, Confluent). Deep knowledge of Databricks, Unity Catalog, and Snowflake. Understanding of Data Mesh/Fabric and product-led approaches. Familiarity with cloud platforms (AWS, Azure, GCP). Leadership in Agile More ❯

thinking company where data is central to strategic decision-making. We’re looking for someone who brings hands-on experience in streaming data architectures, particularly with Apache Kafka and Confluent Cloud, and is eager to shape the future of scalable, real-time data pipelines. You’ll work closely with both the core Data Engineering team and the Data Science function … bridging the gap between model development and production-grade data infrastructure. What You’ll Do: Design, build, and maintain real-time data streaming pipelines using Apache Kafka and Confluent Cloud. Architect and implement robust, scalable data ingestion frameworks for batch and streaming use cases. Collaborate with stakeholders to deliver high-quality, reliable datasets to live analytical platforms and machine learning … What We’re Looking For: 5 years of experience in a Data Engineering or related role. Strong experience with streaming technologies such as Kafka, Kafka Streams, and/or Confluent Cloud (must-have). Solid knowledge of Apache Spark and Databricks. Proficiency in Python for data processing and automation. Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, or DynamoDB). Exposure More ❯