Senior Kafka Solutions Architect - Real-Time Data Streaming

GECO ASIA PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

GECO Asia Pte Ltd in Singapore seeks a Kafka Solutions Architect to design and deliver enterprise-grade streaming platforms. You will translate business needs into scalable event-driven architectures and collaborate with data engineering, application, and DevOps teams to ensure reliability and performance.

The role requires 5+ years of Kafka hands-on experience, strong Java/Python/Scala skills, and expertise across AWS/GCP/Azure environments, with familiarity in Docker and Kubernetes.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or related technical discipline.
• 10+ years total IT experience with at least 4 years in Kafka, event streaming, data engineering, or solution architecture.
• Proven experience delivering enterprise-scale data integration, streaming, or event-driven solutions.
• Strong customer-facing, analytical, and communication skills across technical and business teams.
• Design and implement end-to-end real-time data streaming solutions using Apache Kafka and Confluent technologies.

Responsibilities

• Minimum 5 years of hands-on Apache Kafka experience across major distributions (Open-Source Kafka, Confluent, Cloudera, AWS MSK).
• Proficiency in Java, Python, or Scala with understanding of distributed systems.
• Understand event-driven architecture, real-time streaming patterns, Kafka architecture, and data integration.
• Experience deploying and operating Kafka on AWS, GCP, or Azure.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

Skills

Kafka

Event streaming

Data integration

Solution architecture

Distributed systems

Customer-facing communication

Education

Bachelor's degree in CS/IT/Engineering

Tools

Java

Python

Scala

Apache Kafka

Confluent

Docker

Kubernetes

AWS

GCP

Azure

Job description

GECO Asia Pte Ltd in Singapore seeks a Kafka Solutions Architect to design and deliver enterprise-grade streaming platforms. You will translate business needs into scalable event-driven architectures and collaborate with data engineering, application, and DevOps teams to ensure reliability and performance.

The role requires 5+ years of Kafka hands-on experience, strong Java/Python/Scala skills, and expertise across AWS/GCP/Azure environments, with familiarity in Docker and Kubernetes.