Staff Data Engineer

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

About the Role

We are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platform's strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users.

Key Responsibilities

Expertise with Apache Kafka, real-time data processing, and event-driven architectures

Experience with Apache Iceberg, data lakehouse architectures, and modern table formats

Demonstrated expertise in cloud cost optimization and data warehouse performance tuning

Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation.

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

Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills

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 (master's degree preferred)

Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments

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

Proven ability to architect and own multiple entire areas of the codebase or services independently

Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus.

Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution

Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day)

This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale.

What's Next

TA Call

Technical Screening Focused on Python and SQL

Technical Screening Focused on Snowflake and dbt

Final Interview - Whiteboarding Design 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.