As a Senior Manager, Data Engineering, you are expected to manage your time between Individual Contributor (IC) hands-on-keyboard coding, PR reviewing and managing your team across its entire domain. You are expected to participate, contribute and improve the hiring process and be an active champion of the org’s cross-geographical RFC & Technical Specification review process.
Above all, you will be an authority on crafting thoughtful solutions that will empower absolutely everyone at Gen Digital towards an agentic AI-first analytics and development lifecycle.
Key Responsibilities
Own the people management responsibilities of a team of driven Data Engineers – including performance & compensation management, hiring and mentorship.
Extensive expertise operating & optimizing a modern data warehousing solution (Snowflake preferred) from both performance and cost perspectives.
Expertise with Apache Kafka, real-time data processing, and event-driven architectures
Experience with Apache Iceberg, data lakehouse architectures, and modern table formats
Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. Contribute a minimum of 1 exemplary technical spec per year that massively moves Gen’s data architecture forward.
Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics
Collaborate with executives and senior leadership to align data architecture with business strategy and manage senior stakeholders from external departments
Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams
About You
Bachelor's degree in computer science, Data Engineering, or related technical field
5-10 years of hands-on data engineering experience in large-scale, high-volume environments, with 1-2 years of management experience
Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming
Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale
Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures
Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations
Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance
Familiarity with AWS is a big plus
Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution
Experience working with PMO, other data specialities (analysts, scientists, machine learning), and working across time zones.
What's Next
TA Call
Technical Screening - PR Review Exercise
Technical Screening - Focused on Snowflake and Dimensional Modeling
Hiring Manager Interview - Whiteboarding Design Round
Bar Raiser Round
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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.
