Staff Data Engineer

Overview

Serve as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that support Gen's cybersecurity platform strategy. Design complex data architectures, mentor engineering teams, and drive the technical vision for multi-petabyte data infrastructure serving millions of users.

What you'll do

• Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution, such as an incremental identity graph, marketing attribution vendor integration, or automated LTV calculation.
• Lead the evaluation and implementation of cutting-edge technologies, including the 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.

What you'll need

• Bachelor's degree in computer science, Data Engineering, or a related technical field.
• 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.
• Advanced Python programming skills.
• 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.
• 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 involving billions of events per day.
• Capability to drive significant technical and business impact at enterprise scale.

Nice to have

• Master's degree.
• Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics.

Details

• Location: Chennai, India.
• The role involves working with Apache Kafka, real-time data processing, event-driven architectures, Apache Iceberg, data lakehouse architectures, modern table formats, cloud cost optimization, and data warehouse performance tuning.
• The role includes designing and implementing data infrastructure serving millions of users.