Confluent Solution Architect

TechCom Solutions Pte Ltd; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

TechCom Solutions Pte Ltd in Singapore seeks an experienced Confluent Solution Architect to design, build, and maintain scalable real-time data pipelines using Kafka and Confluent components.

You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions and optimize performance of data flows.

Deploy Kafka on cloud platforms (AWS, GCP, Azure) and use Docker, Kubernetes, and CI/CD pipelines to automate deployments and ensure secure, scalable operations.

Qualifications

• 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

Responsibilities

• Design, develop, and maintain scalable real-time data pipelines and integrations using Kafka and Confluent components
• Collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions
• Ensure reliability, scalability, and performance of streaming data architectures

Skills

Kafka expertise

Java/Python/Scala

Event-driven architecture

Cloud deployment (AWS/GCP/Azure)

Docker/Kubernetes/CI/CD

Tools

Docker

Kubernetes

CI/CD tooling

Job description

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.

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