Confluent Solution Architect

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 Experience

10+ years

Relevant Experience

5+ years

Mandatory skills

5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)

Strong proficiency in Java, Python, or Scala

Solid understanding of event-driven architecture and data streaming patterns

Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure

Familiarity with Docker, Kubernetes, and CI/CD pipelines

Excellent problem-solving and communication abilities

Desired skills

Candidates 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 Center

Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink

Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC

Confluent certifications (Developer, Administrator, or Flink Developer)

Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes

Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns

Exposure to monitoring tools (Prometheus, Grafana, Splunk)

Experience with data lakes, data warehouses, or big data ecosystems

Personal:

High analytical skills

A high degree of initiative and flexibility

High customer orientation

High quality awareness

Excellent verbal and written communication skills