Senior Principal Data Engineer

About Gen Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. About the Role We are seeking an experienced Senior Principal Data Engineer to serve as a technical leader responsible for architecting systems within your team's domain and driving complex, cross-team projects that directly support our cybersecurity platform's strategic objectives. This role requires someone who can architect systems within your team's domain, reasonably be expected to come up with and drive the projects that your crew should do to solve complex business problems, and actively mentor other engineers. As a Senior Principal Data Engineer, you will fully understand and own multiple entire areas of the codebase or multiple services, work with your Manager or a Technical Director to validate your technical decisions when you ask for input, and contribute significantly to our data engineering practices and standards. Key Responsibilities Technical Leadership & Project Ownership Cross-Team Projects:  Lead projects that cross teams, actively working with your Manager to set the technical vision for your team Problem Solving:  Be handed a problem and reasonably be expected to come up with and drive the projects that your crew should do to solve that problem System Architecture:  Architect systems that are within your team's domain, with guidance from Manager or Technical Director when needed Implementation & Development Domain Ownership:  Fully understand and own multiple entire areas of the codebase or multiple services Technology Integration:  Lead evaluation and implementation of new technologies that benefit your team's domain Quality Standards:  Ensure all work meets our high-quality pull request standards and follows established engineering processes Collaboration & Mentoring Cross-Functional Collaboration:  Collaborate across teams inside the Data Engineering org, represent your team as needed, and reach out to external stakeholders for clarifications Mentoring:  Actively mentor IC7s and IC8s, focusing on adopting our processes, technical knowledge, and quality of execution Stakeholder Engagement:  Work with engineers in the rest of Gen to help move the org forward Quantifiable Performance Expectations Technical Output:  Minimum 4 PRs per week (GitFlow) or 6 PRs per week (Trunk-based development) Code Reviews:  2 comprehensive reviews per day from anyone in the areas/services you contribute to Documentation:  Author at least 1 RFC or Tech Spec per year that demonstrates technical leadership Meeting Efficiency:  No more than 15% of work hours spent in meetings to maintain focus on technical work Deployments:  Ro ... (truncated, view full listing at source)