Kafka Solution Architect
Tap Growth ai · Singapour
Job description
About the role
We are looking for an experienced Kafka Solution Architect to design and deliver scalable, reliable, and real‑time data streaming solutions using Apache Kafka and the Confluent ecosystem. The role works closely with data engineers, architects, DevOps teams, and business stakeholders to build event‑driven architectures for enterprise‑grade streaming.
Key responsibilities
- Design and implement end‑to‑end real‑time streaming solutions with Apache Kafka and Confluent technologies.
- Translate business and technical requirements into scalable event‑driven architectures.
- Collaborate with data engineering, application, architecture, and DevOps teams to deliver reliable platforms.
- Support Kafka deployments across cloud environments (AWS, GCP, Azure) and improve performance, security, and scalability.
- Troubleshoot complex streaming issues, perform root‑cause analysis, and recommend sustainable fixes.
- Provide technical guidance, define architectural standards, and drive continuous improvement.
- Engage with customers and stakeholders to communicate solutions, risks, and implementation approaches.
Required profile
- Bachelor's degree in Computer Science, Engineering or related field.
- Minimum 10 years of IT experience, with at least 4 years focused on Kafka, event streaming, or solution architecture.
- Proven experience delivering enterprise‑scale data integration or streaming solutions.
- Strong analytical, communication, and stakeholder‑management skills.
Required skills
- Apache Kafka (minimum 5 years hands‑on)
- Confluent Platform (Kafka Connect, Kafka Streams, ksqlDB, Schema Registry, REST Proxy, Control Center)
- Programming languages: Java, Python, Scala
- Cloud platforms: AWS, GCP, Azure
- Containerisation and orchestration: Docker, Kubernetes
- CI/CD pipelines
- Confluent Cloud, Apache Flink, Confluent for Kubernetes (CFK)
- Stream governance, data lineage, catalog, audit logs, RBAC
- KRaft migration, data mesh architectures, integration with data lakes and warehouses
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Published 1 month ago
Expires 6 days from now
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Tap Growth ai
Singapour
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