Senior Manager, Data Engineering

We are seeking an experienced Senior Manager, Data Engineering to serve as a technical people leader responsible for owning the deliverables of your team and going the distance to empower them to achieve their objectives. You can expect to be 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.

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.

- 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