Kafka Architect

Kafka Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

**Job Location: Richmond, VA**

**Job Responsibilities**

Platform Architecture & Design:

Design and architect a Confluent Kafka platform, considering high availability, fault tolerance, and performance requirements.

Develop detailed architectural diagrams and documentation for the Kafka infrastructure and related components.

Define best practices and standards for Kafka topic creation, partitioning, and configuration.

Implementation & Setup:

Lead the installation, configuration, and deployment of Confluent Kafka clusters, including brokers, ZooKeeper, Schema Registry, and Connect.

Automate Kafka cluster operations using infrastructure-as-code tools (e.g., Terraform, Ansible).

Implement security measures to protect Kafka clusters and data streams (e.g., authentication, authorization, encryption).

Data Modeling & JSON Handling:

Design and implement efficient data serialization and deserialization strategies, including JSON.

Develop and maintain schemas for data exchanged within the Kafka platform.

Ensure data quality and consistency across different systems and applications using schema validation and governance practices.

Performance & Monitoring:

Monitor Kafka cluster performance, identify bottlenecks, and implement optimization strategies.

Troubleshoot and resolve issues related to Kafka performance, reliability, and scalability.

Develop and maintain dashboards and alerts for proactive monitoring of the Kafka platform.

Collaboration & Documentation:

Collaborate with data engineers, application developers, and operations teams to integrate Kafka solutions with business needs.

Provide technical guidance and support to teams using the Kafka platform.

Create comprehensive documentation for the Kafka architecture, configuration, and best practices.

**Required Skills**

Bachelor's degree in Computer Science or a related field.

5+ years of experience architecting, designing, and implementing data streaming platforms using Confluent Kafka.

Deep understanding of Kafka architecture, including brokers, topics, partitions, replication, and ZooKeeper.

Hands-on experience with setting up and managing Confluent Kafka clusters in production environments.

Strong experience with JSON data handling, schema design, and data serialization/deserialization in Kafka.

Proficiency in at least one programming language (e.g., Java, Scala, Python).

Experience with monitoring and alerting tools (e.g., Prometheus, Grafana).

Excellent communication and collaboration skills.

Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

**Life at Capgemini**

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups nd Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations

Disaster Relief

**Disclaimer**

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities aring our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ref. code: 252628

Posted on: Jun 11, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, USMclean, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.