Position Overview:

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.

Essential Qualifications (All Required):

• 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
• Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures
• Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations
• Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance
• Proven ability to architect and own multiple entire areas of the codebase or services independently

Advanced Technical Requirements:

• 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

Desired Qualifications:

· Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus.

· Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution

· Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day)

Key Responsibilities:

• ·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

This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale.

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Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.