Kafka Solutions Architect

Job Summary:

Role: Kafka Solutions Architect

Start: ASAP

Duration: 12 Months

Location: Singapore

We are looking for a Kafka Solutions Architect, who is able to fulfill the following requirements:

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.

- 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.

Roles and Responsibilities:

- 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.

Nice-to-Have Skills:

- 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.

Please send your application highlighting:
- Your relevant experience
- Current/expected salary
- Availability information
- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

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