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Posted 9 hours ago

Senior Principal Data Engineer

Gen

Requirements

6-10 years data engineering experience, Expert SQL or Python, Snowflake expertise, Kimball dimensional modeling, AWS infrastructure, DBT or SQL Mesh

Skills

PythonSQLSnowflakeAWSDBTKafka

About the role

About the Company

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. We deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Responsibilities

  • Lead cross-team projects and set technical visions for your team
  • Architect systems within your team's domain and solve complex business problems
  • Own multiple areas of the codebase or services
  • Evaluate and implement new technologies to benefit the domain
  • Mentor IC7 and IC8 engineers on technical knowledge and execution quality
  • Maintain high technical output including regular pull requests and comprehensive code reviews
  • Author technical specifications and RFCs to demonstrate leadership
  • Collaborate with stakeholders across the organization to drive progress

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, or a related field
  • 6-10 years of hands-on data engineering experience in large-scale, high-volume environments
  • Expert proficiency in SQL or Python, with strong understanding of the other
  • Extensive experience with Snowflake architecture, optimization, and performance tuning
  • Experience building Kimball dimensional data warehouses and star schema architectures
  • Strong AWS cloud infrastructure experience focused on data operations
  • Production experience with DBT or SQL Mesh
  • Experience with CI/CD pipelines and GitFlow or trunk-based development
  • Knowledge of data compliance requirements like GDPR and PCI-DSS

Preferred Qualifications

  • Experience with Apache Kafka and event-driven architectures
  • Familiarity with Apache Iceberg and Data Lakehouse architectures
  • Experience with data warehouse cost optimization
  • Background in subscription business models (LTV, churn prediction, cohort analysis)
  • Experience in high-volume industries such as cybersecurity, ad-tech, or fintech
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Senior Principal Data Engineer

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