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We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our company's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.