Enterprise Automation Architect

Confluent-posted about 1 year ago
$198,000 - $198,000/Yr
Full-time • Senior
Bismarck, ND
Publishing Industries
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The Automation Architect at Confluent will provide technical leadership within the Business Systems team, focusing on enterprise-grade automation and integration solutions. This role involves designing scalable, event-driven systems using Confluent Cloud (Kafka), Flink, and AI technologies to meet the complex needs of the organization. The architect will collaborate with cross-functional teams to align automation initiatives with business goals and drive innovation across the enterprise.

  • Design and implement scalable, distributed, event-driven systems using Kafka and Flink, ensuring low latency and high reliability.
  • Incorporate AI technologies into automation and event-driven workflows.
  • Architect integrations across SaaS platforms, systems, and databases using Kafka streams and microservices patterns.
  • Partner with stakeholders to translate business needs into cohesive automation and AI strategies.
  • Lead the design of microservices that align with cloud-native principles.
  • Conduct technical design reviews and enforce best practices for high-quality solutions.
  • Drive the adoption of emerging AI technologies alongside data streaming solutions.
  • Provide guidance and mentorship to engineers.
  • A minimum of 8+ years in enterprise automation, software architecture, or related fields, with 5+ years of hands-on experience in Kafka and event-driven systems.
  • Proven track record of designing and implementing large-scale, cloud-native solutions leveraging Kafka, Flink, and AI-driven tools.
  • Advanced understanding of event-driven architecture, stream processing, and distributed systems.
  • Experience integrating AI models or tools into enterprise systems, including real-time machine learning workflows.
  • Proficiency in microservices architecture, RESTful APIs, and modern DevOps practices.
  • Strong background in cloud platforms (AWS, GCP, or Azure), including infrastructure as code.
  • In-depth knowledge of SQL and NoSQL database technologies.
  • Familiarity with containerization and orchestration tools.
  • Industry recognition as a thought leader in automation and real-time data processing.
  • Hands-on experience deploying and managing AI/ML pipelines or integrating AI services.
  • Experience representing technical expertise in external forums such as conferences or webinars.
  • A deep understanding of Kafka, Flink, AI/ML frameworks, and modern event-driven architectures.
  • Competitive pay and benefits in line with industry standards.
  • Annual estimated salary of $168,500 - $198,000.
  • Annual bonus and competitive equity package.
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