Senior Principal Data Engineer

The role

A technical leader who architects systems within a team domain and drives complex cross-team projects. This person will mentor other engineers and own multiple areas of the codebase or services to support cybersecurity platform objectives.

What you will do

• Lead projects that cross teams and set technical vision
• Develop and drive projects to solve complex business problems
• Architect systems within the team domain
• Own multiple areas of the codebase or services
• Lead evaluation and implementation of new technologies
• Ensure work meets high-quality pull request standards
• Collaborate across teams and with external stakeholders
• Actively mentor IC7s and IC8s
• Perform minimum 4+ PRs per week (GitFlow) or 6+ PRs per week (Trunk-based development)
• Conduct 2+ comprehensive code reviews per day

Required qualifications

• Bachelor's degree in computer science, Data Engineering, or related technical field
• Minimum 6-10 years of hands-on data engineering experience in large-scale, high-volume environments
• Expert proficiency in at least one of SQL and Python, with strong understanding of the other
• Extensive experience with Snowflake architecture, optimization, and performance tuning
• Demonstrated experience building Kimball dimensional data warehouses and star schema architectures
• Strong AWS cloud infrastructure experience with focus on data operations
• Production experience with either DBT or SQL Mesh for data transformation workflows
• Experience with CI/CD pipelines, GitFlow/trunk-based development, and data governance frameworks
• Knowledge of compliance requirements (GDPR, PCI-DSS) in data systems
• Proven ability to architect systems that are within your team's domain on your own

Nice to have

• Master's degree
• Experience with Apache Kafka, event-driven architectures, and real-time analytics pipelines
• Familiarity with Apache Iceberg, data Lakehouse architectures, and modern table formats
• Experience with data warehouse performance tuning and cost optimization practices
• Experience with cohort analysis, LTV calculations, churn prediction, or marketing attribution frameworks
• Experience in cybersecurity, ad-tech, fintech, or similar industries processing large volumes of data
• Experience building feature usage analytics, behavioral analysis, or executive reporting systems

Benefits

• Flexible working options
• Time off
• Competitive pay
• Benefits
• Well-being programs

Before you apply

• TA Screening Call
• Technical Screening Focused on Python and SQL
• Technical Screening Focused on Snowflake and Dimensional Modeling
• Final Interview - Whiteboarding Design Round

About the company

Gen is a global company dedicated to powering Digital Freedom through brands including Norton, Avast, LifeLock, and MoneyLion. They deliver cybersecurity, online privacy, identity protection, and financial wellness solutions to nearly 500 million users.