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Strong employer brand, metro location, and broad platform skillset create moderate competition.
Kafka and platform engineering skills transfer across industries, though regulated-manufacturing preference raises domain specificity.
Multiple mandatory platform, security, and hybrid-cloud experience requirements make filters stringent.
Lead implementation and lifecycle management of Kafka-based event streaming platforms to enable real-time data integration across Science & Technology and Operations portfolios.
Architect and manage end-to-end event-driven streaming solutions for data ingestion, processing, and distribution across cloud, edge, and on-premises environments ensuring scalability and resilience.
Establish and enforce platform governance, security, observability, and performance standards supporting real-time analytics, automation, AI/ML, and continuous improvement.
Bachelor’s degree required.
7+ years relevant experience with event streaming platforms, data integration, or enterprise middleware solutions.
Proven expertise designing and managing Confluent Kafka-based event streaming platforms in large-scale enterprise environments.
Experience implementing security controls (TLS, mTLS, RBAC, service authentication, secrets management) and ensuring high availability and data integrity.
Demonstrated ability to work across hybrid technology ecosystems integrating cloud, edge, and on-premises infrastructures.
Experience partnering with application, data, infrastructure, and cybersecurity teams to deliver interoperable event-driven architectures.
Background supporting regulated manufacturing, pharmaceutical, or medical device industries preferred.