Gen
Gen
5,001 – 10,000 Employees
B2CCybersecurityFintech
Gen is a global consumer technology company operating across cybersecurity, digital privacy, identity protection, and financial wellness. Through brands such as Norton, Avast, LifeLock, and MoneyLion, it helps people protect their devices, identities, personal information, and finances. Its products include threat detection, breach response, online privacy tools, banking features, and embedded finance services through Engine. Gen also invests in AI-driven security and its Gen AI Foundry, focused on building trust for emerging AI applications. The company serves nearly 500 million users across more than 150 countries and has dual headquarters in Prague and Tempe.

Staff Data Engineer – Chennai Hybrid

Lead the architecture of multi-petabyte data infrastructure supporting Gen’s cybersecurity and digital safety products. Shape enterprise data strategy, advanced analytics, and technical direction across engineering teams.

Description

  • Architect enterprise-scale data solutions that influence Gen’s cybersecurity platform strategy
  • Build systems including incremental identity graphs, marketing attribution integrations, and automated lifetime-value calculations
  • Evaluate and implement modern data-stack and advanced analytics technologies
  • Partner with executives and senior leaders to align data architecture with business priorities
  • Mentor IC9 and IC10 engineers in architectural judgment and advanced technical practices
  • Lead complex, multi-quarter initiatives spanning multiple engineering teams
  • Provide senior technical leadership for multi-petabyte infrastructure serving millions of users

Requirements

  • Bachelor’s degree in computer science, data engineering, or a related technical discipline; a master’s degree is preferred
  • 10–15 years of hands-on data engineering experience in large-scale, high-volume environments
  • Expert SQL optimization skills for multi-petabyte datasets and advanced Python programming ability
  • Extensive experience architecting, optimizing, and managing Snowflake costs at enterprise scale
  • Demonstrated ability to build Kimball dimensional warehouses and star-schema architectures
  • Advanced AWS cloud infrastructure experience plus DBT or SQLMesh expertise for data transformations
  • Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks supporting GDPR and PCI-DSS compliance
  • Ability to independently architect and own multiple complete codebase or service areas
  • Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics; familiarity is a plus
  • Track record working with subscription business models, including cohort analysis, lifetime-value calculations, and marketing attribution
  • Direct experience in cybersecurity, ad-tech, or high-volume data environments processing billions of daily events
  • Recognized data engineering expertise with the ability to deliver technical and business impact at enterprise scale

Benefits

  • Flexible working arrangements
  • Paid time off
  • Competitive compensation
  • Benefits and well-being programs
  • Career development opportunities
  • A culture of constructive debate, experimentation, and continuous learning

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