We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our 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.
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.
Requirements:
5+ years of experience in data engineering with 2+ years in a technical leadership or management role
Strong technical background in Go and/or Java with hands-on experience in big data technologies
Proven experience managing and scaling engineering teams
Deep expertise with distributed databases (Cassandra, Elasticsearch) and production-grade data pipeline architecture
Track record of delivering complex data infrastructure projects on time
Excellent communication skills – ability to translate technical concepts to non-technical stakeholders
Strong leadership abilities including mentoring, conflict resolution, and team building
BS/MS in Computer Science or related field, or equivalent experience
Experience with cloud platforms (AWS, GCP, Azure)
Bonus Points:
Experience with identity and access management concepts or security analytics platforms
Knowledge of security analytics and threat detection
Contributions to open-source projects or technical community leadership
Background in cybersecurity or security analytics
Experience managing distributed or remote teams
Prior experience at a high-growth technology company.
5+ years of experience in data engineering with 2+ years in a technical leadership or management role
Strong technical background in Go and/or Java with hands-on experience in big data technologies
Proven experience managing and scaling engineering teams
Deep expertise with distributed databases (Cassandra, Elasticsearch) and production-grade data pipeline architecture
Track record of delivering complex data infrastructure projects on time
Excellent communication skills – ability to translate technical concepts to non-technical stakeholders
Strong leadership abilities including mentoring, conflict resolution, and team building
BS/MS in Computer Science or related field, or equivalent experience
Experience with cloud platforms (AWS, GCP, Azure)
Bonus Points:
Experience with identity and access management concepts or security analytics platforms
Knowledge of security analytics and threat detection
Contributions to open-source projects or technical community leadership
Background in cybersecurity or security analytics
Experience managing distributed or remote teams
Prior experience at a high-growth technology company.
This position is open to all candidates.
