Senior Principal Data Engineer

About GenGen 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 RoleWe 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 ResponsibilitiesCross-Team Projects: Lead projects that cross teams, actively working with your Manager to set the technical vision for your teamProblem 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 problemSystem Architecture: Architect systems that are within your team's domain, with guidance from Manager or Technical Director when neededDomain Ownership: Fully understand and own multiple entire areas of the codebase or multiple servicesTechnology Integration: Lead evaluation and implementation of new technologies that benefit your team's domainQuality Standards: Ensure all work meets our high-quality pull request standards and follows established engineering processesCross-Functional Collaboration: Collaborate across teams inside the Data Engineering org, represent your team as needed, and reach out to external stakeholders for clarificationsMentoring: Actively mentor IC7s and IC8s, focusing on adopting our processes, technical knowledge, and quality of executionStakeholder Engagement: Work with engineers in the rest of Gen to help move the org forwardTechnical 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 toDocumentation: Author at least 1+ RFC or Tech Spec per year that demonstrates technical leadershipMeeting Efficiency: No more than 15% of work hours spent in meetings to maintain focus on technical workDeployments: Routinely deploy to production with appropriate oversight and process adherenceDomain Knowledge: Extremely knowledgeable in your domains and able to almost always help anyone coming to you with technical questionsDevelopment Skills: Expert in at least one of SQL and Python, with strong understanding of the other enough to be an effective IC10Process Excellence: Very reliably follow our processes with code that only requires revisions for architectural reasonsArchitecture Understanding: Contribute to the architecture of systems within your team's domainCollaboration: Collaborate across teams inside the Data Engineering org and represent your team to external stakeholders when neededAbout YouBachelor's degree in computer science, Data Engineering, or related technical field (master's degree preferred)Minimum 6-10 years of hands-on data engineering experience in large-scale, high-volume environmentsExpert proficiency in at least one of SQL and Python, with strong understanding of the otherExtensive experience with Snowflake architecture, optimization, and performance tuningDemonstrated experience building Kimball dimensional data warehouses and star schema architecturesStrong AWS cloud infrastructure experience with focus on data operationsProduction experience with either DBT or SQL Mesh for data transformation workflowsExperience with CI/CD pipelines, GitFlow/trunk-based development, and data governance frameworksKnowledge of compliance requirements (GDPR, PCI-DSS) in data systemsProven ability to architect systems that are within your team's domain on your ownStreaming & Real-time Processing: Experience with Apache Kafka, event-driven architectures, and real-time analytics pipelinesModern Data Architecture: Familiarity with Apache Iceberg, data Lakehouse architectures, and modern table formatsPerformance Optimization: Experience with data warehouse performance tuning and cost optimization practicesSubscription Business Models: Experience with cohort analysis, LTV calculations, churn prediction, or marketing attribution frameworksHigh-Volume Industries: Experience in cybersecurity, ad-tech, fintech, or similar industries processing large volumes of dataComplex Analytics: Experience building feature usage analytics, behavioral analysis, or executive reporting systemsThis position is ideal for an experienced data engineering professional who wants to take on significant technical leadership responsibilities, enjoys mentoring others, and thrives on solving complex data challenges in a high-growth cybersecurity environment.What's NextTA Screening CallTechnical Screening Focused on Python and SQLTechnical Screening Focused on Snowflake and Dimensional Modeling Final Interview - Whiteboarding Design Round__________Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.