Staff Data Engineer

Gen

132d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics.
• 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).

Responsibilities

• Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution.
• 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.

Benefits

• Flexible working options with generous time off.
• Competitive benefits and compensation packages.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree