Country

Canada

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.)
Robust 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 contemporary 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

Domain (Industry)

Any domain

Work Location

Calgary, Canada

Background check (Before onboarding / After onboarding)

Hybrid

📌 Confluent Solution Architect Calgary
🏢 KAnand
📍 Calgary