Our client in Phoenix, AZ. Murray, UT is currently hiring a Enterprise Architect (Kafka) on a contract to permanent basis.

Note:

• Must be willing to relocate within 2-3 weeks of offer (Local candidates preferred)
• Role is Hybrid, onsite 2 days and remote 3 days
• US Citizen, GC holder, TN, H4 or GC EAD (No Sponsorship available)
• No 3rd parties/Corp to Corp

Job Description

We are looking for an experienced Enterprise Architect with deep expertise in event-driven architecture (EDA) and Apache Kafka to join our team. In this role, you will be responsible for designing, implementing, and optimizing our enterprise event-driven systems to enable real-time data processing and integration across the organization. You will lead the creation of scalable, fault-tolerant, and high-throughput data pipelines and advise on best practices for implementing Kafka and related technologies.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or related career experience
• 8+ years of experience in enterprise architecture, with a focus on distributed systems and event-driven architectures.
• Proven expertise in designing, implementing, and scaling Kafka-based solutions for real-time data processing.
• Advanced knowledge of Apache Kafka, Kafka Streams, Kafka Connect, and related ecosystem components.
• Proficiency in designing data streaming architectures, message-driven microservices, and asynchronous communication patterns.
• Strong experience with DevOps practices, including Kafka cluster deployment, monitoring, and automation tools.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes) for Kafka management.
• Exceptional analytical skills, strong communication abilities, and experience working with diverse, cross-functional teams.

Preferred Qualifications:

• Certifications in enterprise architecture (e.g., TOGAF) or Kafka (e.g., Confluent Certified Developer for Apache Kafka).
• Experience with complementary streaming tools, such as Spark, Flink, or Pulsar.
• Understanding of data governance frameworks and practices for secure data streaming.