Kafka Solution Architect

About the role

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.

About you

• 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.
• 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.
• Strong customer-facing, analytical, and communication skills, with the ability to work effectively across technical and business teams.

About us

The client provides a wide range of services in the technology sector, primarily focused on digital transformation for enterprises across various industries. Their work leverages cutting-edge technologies, including Artificial Intelligence (AI), cloud computing, data analytics, and cybersecurity. The role is an engagement they have with a global enterprise data streaming platform company founded by the original co-creators of Apache Kafka.