Senior Principal Data Engineer

Chennai, Tamil Nadu
Permanent
Full-time

17 days ago

Who Are WeWe’re not just a company; we’re a global force. Fiercely committed to ensuring that everyone, everywhere, can live their lives digitally safe. Our family of brands – Norton, Avast, LifeLock, Avira, AVG, ReputationDefender and CCleaner – unite the brightest minds, the sharpest tech and the most diverse thinking to protect over 500 million people. And we’ve built an inclusive workplace, where your well-being is a priority because true success comes from a place of balance and authenticity. When you're thriving, you’re unstoppable. So, bring us your bold ideas and passion that refuses to quit. The digital world isn’t some distant reality – it's the world we live in, and we’re ready for it. If you’re ready to push boundaries and be part of something bigger, join #TeamGen.How We WorkWe are a thriving, globally distributed team focused on building innovative mobile app solutions in security, utilities, and finance. Leveraging modern technologies, including AI-powered tools, we experiment, evaluate, and drive impactful change, creating secure, high-performance products across the globe.Mission and GoalsWe are seeking an experienced Senior 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 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.ObjectivesTechnical 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: Routinely deploy to production with appropriate oversight and process adherence

Technical Competency Expectations

Domain Knowledge: Extremely knowledgeable in your domains and able to almost always help anyone coming to you with technical questions
Development Skills: Expert in at least one of SQL and Python, with strong understanding of the other enough to be an effective IC10
Process Excellence: Very reliably follow our processes with code that only requires revisions for architectural reasons
Architecture Understanding: Contribute to the architecture of systems within your team's domain
Collaboration: Collaborate across teams inside the Data Engineering org and represent your team to external stakeholders when needed

Career Impact & GrowthThis role represents a senior individual contributor position within our Data Engineering organization where you'll have the opportunity to:

Lead Technical Projects: Drive complex, cross-team initiatives that solve important business problems
Mentor Junior Engineers: Help develop the next generation of data engineering talent through active mentoring
Shape Team Standards: Contribute to establishing and maintaining high engineering standards within your domain
Solve Complex Problems: Work on challenging technical problems that require deep expertise and creative solutions
Collaborate Across Teams: Build relationships and work effectively with stakeholders across the Data Engineering organization

Competencies

Bachelor'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 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

Advanced Technical Requirements

Streaming & Real-time Processing: Experience with Apache Kafka, event-driven architectures, and real-time analytics pipelines
Modern Data Architecture: Familiarity with Apache Iceberg, data Lakehouse architectures, and modern table formats
Performance Optimization: Experience with data warehouse performance tuning and cost optimization practices

Domain Expertise (Preferred)

Subscription Business Models: Experience with cohort analysis, LTV calculations, churn prediction, or marketing attribution frameworks
High-Volume Industries: Experience in cybersecurity, ad-tech, fintech, or similar industries processing large volumes of data
Complex Analytics: Experience building feature usage analytics, behavioral analysis, or executive reporting systems
This 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.

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

Gen Digital

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