Detailed JD (Roles and Responsibilities)As a Confluent Solution Architect, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions.Total Experience10+ yearsRelevant Experience8+ yearsMandatory skills5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)Strong proficiency in Java, Python, or ScalaSolid understanding of event-driven architecture and data streaming patternsExperience deploying Kafka on cloud platforms such as AWS, GCP, or AzureFamiliarity with Docker, Kubernetes, and CI/CD pipelinesExcellent problem-solving and communication abilities
Desired skillsCandidates with experience in Confluent Kafka and its ecosystem will be given preference:
Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control CenterHands-on with Confluent Cloud services, including ksqlDB Cloud and Apache FlinkFamiliarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBACConfluent certifications (Developer, Administrator, or Flink Developer)Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for KubernetesKnowledge of data mesh architectures, KRaft migration, and modern event streaming patternsExposure to monitoring tools (Prometheus, Grafana, Splunk)Experience with data lakes, data warehouses, or big data ecosystems
Personal:High analytical skillsA high degree of initiative and flexibilityHigh customer orientationHigh quality awarenessExcellent verbal and written communication skillsDomain (Industry)Any domain