Kafka Solutions Architect

GECO Asia Pte Ltd; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

GECO Asia Pte Ltd seeks an experienced Kafka Solution Architect to design and deliver scalable real-time data streaming solutions using Apache Kafka and the Confluent ecosystem. You will work with data engineers, architects, DevOps, and stakeholders to implement event-driven architectures and enterprise-grade streaming platforms.

Minimum 10 years IT experience with at least 4 years in Kafka, experience with Confluent, and strong communication skills are required.

Qualifications

• Minimum 10 years of total IT experience with at least 4 years in Kafka or event streaming.
• Proven experience delivering enterprise-scale data integration and streaming solutions.
• Strong customer-facing, analytical and communication skills across tech and business teams.

Responsibilities

• Design end-to-end real-time data streaming solutions using Kafka and Confluent technologies.
• Translate requirements into scalable event-driven architectures and integration solutions.
• Collaborate with data engineering, architecture, and DevOps to deliver reliable streaming platforms.
• Support Kafka deployments across cloud environments and contribute to performance, security, and reliability.

Skills

Apache Kafka

Distributed systems

Java

Python

Scala

Event-driven architecture

Cloud deployments

Docker

Kubernetes

Stakeholder management

Communication skills

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Confluent Platform

Kafka Connect

ksqlDB

Schema Registry

Prometheus

Grafana

Splunk

Job description

Overview

We are seeking an experienced KafkaSolution Architectto design and deliver scalable, reliable, and real-time data streaming solutions using Apache Kafka and the Confluent ecosystem. The role will work closely with data engineers, architects, DevOps teams, and stakeholders to develop event-driven architectures and enterprise-grade streaming solutions.

Key Responsibilities

• Design and implement end-to-end real-time data streaming solutions using Apache Kafka and Confluent technologies.
• Translate business and technical requirements into scalable event-driven architectures and integration solutions.
• Collaborate with data engineering, application, architecture, and DevOps teams to deliver reliable streaming platforms.
• Support Kafka deployments across cloud environments and contribute to platform performance, security, scalability, and reliability.
• Troubleshoot complex streaming and integration issues, perform root-cause analysis, and recommend sustainable solutions.
• Provide technical guidance and contribute to architectural standards, best practices, and continuous improvement initiatives.
• Engage with customers and stakeholders to communicate technical solutions, recommendations, risks, and implementation approaches.

General Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• Minimum 10 years of total IT experience, with at least 4 years of relevant experience 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, with the ability to work effectively across technical and business teams.

Mandatory Skills

• Minimum 5 years of hands-on Apache Kafka experience, including any major distribution such as Open Source Kafka, Confluent, Cloudera, or AWS MSK.
• Strong proficiency in at least one programming language: Java, Python, or Scala, with a solid understanding of distributed systems and software engineering principles.
• Strong understanding of event-driven architecture, real-time data 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.
• Strong problem-solving, stakeholder management, and verbal and written communication skills.

Preferred / Nice-to-Have

• Hands-on experience with the Confluent ecosystem, including Kafka Connect, Kafka Streams, ksqlDB/KSQL, Schema Registry, REST Proxy, and Confluent Control Center.
• Experience with Confluent Cloud, ksqlDB Cloud, Apache Flink, Confluent Platform, Confluent for Kubernetes (CFK), and multi-cloud deployments.
• Knowledge of Stream Governance, Data Lineage, Stream Catalog, Audit Logs, and RBAC.
• Experience with modern event streaming patterns, data mesh architectures, KRaft migration, and integration with data lakes, data warehouses, or big data platforms.
• Exposure to monitoring and observability tools such as Prometheus, Grafana, and Splunk.
• Relevant Confluent certifications, including Confluent Developer, Administrator, or Flink Developer certifications.
• High initiative, flexibility, customer orientation, and strong commitment to quality and delivery excellence.