Staff Data Engineer

We are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platform's strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users.

- Expertise with Apache Kafka, real-time data processing, and event-driven architectures

- Experience with Apache Iceberg, data lakehouse architectures, and modern table formats

- Demonstrated expertise in cloud cost optimization and data warehouse performance tuning

- Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation.

- Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics

- Collaborate with executives and senior leadership to align data architecture with business strategy

- Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills

- Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams

- Bachelor's degree in computer science, Data Engineering, or related technical field (master's degree preferred)

- Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments

- Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming

- Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale