Confluent Kafka Architect
Job
IBM
Los Angeles, CA (In Person)
Full-Time
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Job Description
- Introduction
- A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
- Your role and responsibilities
- As an Integration Architect specializing in Hybrid Integration, you will design and build integrations that break down everyday business applications into individual business functions and processes.
Your primary responsibilities will include:
Design Business Functions:
Design individual business functions and processes that can run independently of applications and computing platforms, enabling integration and communication between them.Build and Deploy Integrations:
Build and deploy integrations using software that allows independent applications to communicate with each other, utilizing a collection of standards and specifications.Define Web Services:
Define Web services that interact with each other to form a particular Web service application in SOA and Enterprise Integration, using protocols to describe operations and data exchange.Integrate Applications:
Integrate new functions and processes with existing applications and computing platforms, ensuring seamless communication and interaction.Develop Standards-Based Solutions:
Develop solutions that adhere to industry standards and specifications, enabling interoperability and flexibility in integration.- Required technical and professional expertise
- 8+ years of experience with Kafka/Confluent architecture in enterprise environments
- Expert-level Flink SQL skills, including UDFs, Flink functions, and stateful stream processing
- Deep knowledge of Confluent Connectors configuration and troubleshooting
- Hands-on experience integrating Kafka with AI/ML platforms and MCP server frameworks
- Strong understanding of event-driven architecture, CQRS, and data mesh patterns
- Preferred technical and professional experience
- Architected end-to-end event streaming solutions leveraging Confluent Platform and Confluent Cloud for enterprise clients
- Designed complex stream processing pipelines using Confluent Flink SQL, including stateful operations, windowing, joins, and custom Flink functions
- Defined connector strategies using Confluent Managed and Custom Connectors for source and sink integrations across databases, SaaS, and cloud services
- Led AI/ML integration design, connecting real-time Kafka streams with model inference pipelines, feature stores, and MCP servers
- Established Schema Registry governance, data contracts, and topic design standards for the COE
- Conducted architecture reviews, proof-of-concepts, and technical workshops for client accounts
- Mentored architects and developers within the COE on Confluent best practices
- Owned the effort estimation model and related solution guidance.
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