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Specialized senior data-platform role with metro location and generic developer title drives medium competition.
Skills for distributed data platforms and search are transferable across industries but require deep domain experience.
Explicit 8-13 years and mandatory deep big-data, search, cloud, and platform skills enforce strict screening.
Lead architecture, design, and delivery of scalable, reliable large-scale data platform systems for cybersecurity telemetry data processing.
Drive cross-team technical direction, influence architectural decisions, and establish engineering best practices and reusable frameworks.
Take full ownership of solutions from design through deployment and operational support, proactively managing risks and technical debt across multiple teams.
8-13 years of experience working on backend or distributed systems.
Strong expertise in designing and operating large-scale big data systems with deep understanding of distributed systems and scalable data architectures.
Proficiency in Python, Go, or Java, strong SQL skills, and experience with Elasticsearch, RESTful APIs, and cloud-native architectures on AWS.
Experience with Kubernetes, containerized environments, and software quality practices including automated testing and observability.
Proven ability to lead complex, high-impact technical initiatives with significant autonomy and navigate ambiguous situations effectively.
Experienced in mentoring and elevating engineering teams across multiple groups, influencing beyond a single codebase.
Deep domain expertise in big data and distributed computing with strong focus on scalable, reliable platform design in cloud environments.