Kafka Solution Architect

Tap Growth ai; Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

Tap Growth ai seeks an experienced Confluent Solution Architect to design scalable, real-time data streaming solutions using Apache Kafka and the Confluent ecosystem. The role collaborates with data engineers, architects, DevOps, and stakeholders to develop event-driven architectures and enterprise-grade streaming platforms.

The ideal candidate has a minimum of 10 years in IT with 4+ years in Kafka/event streaming, strong communication skills, and experience deploying Kafka on major cloud

Qualifications

• Minimum 10 years in IT with 4+ years in Kafka/event streaming/solution architecture.
• Strong customer-facing, analytical, and communication skills across tech and business teams.
• Hands-on experience deploying Kafka on cloud platforms (AWS/GCP/Azure).
• Familiarity with Confluent components (Kafka Connect, Streams, Schema Registry) is preferred.

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 engineers, architects, and DevOps to deliver reliable streaming platforms.
• Provide technical guidance and contribute to architectural standards and best practices.
• Engage with customers to communicate solutions, risks, and implementation approaches.
• Troubleshoot streaming issues and perform root-cause analysis to propose sustainable fixes.

Skills

Apache Kafka

Confluent ecosystem

Java

Python

Education

Bachelor's Degree in Computer Science/IT/Engineering

Tools

Docker

Kubernetes

CI/CD

AWS/GCP/Azure

Prometheus/Grafana

Job description

Overview

We are seeking an experienced Confluent Solution Architect to 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.
• 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

Keen to shape the future of real-time data?