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.
