Tap Growth Ai Hiring! Full Time Kafka Solution Architect in - Ricebowl

We're Hiring: Kafka Solution Architect!

Overview

We are seeking an experiencedConfluent Solution 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.
  
  

• Providetechnical 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, ora relatedtechnical 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-onApache Kafka experience, including any major distribution such
  
  

• asOpen SourceKafka, Confluent, Cloudera, or AWS MSK.
  
  

• Strongproficiencyin 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.
  
  
  

Keen to shape the future of real-time data? Apply now and join our dynamic team!