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 Gens 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

Competencies

Bachelors degree in computer science, Data Engineering, or related technical field (masters 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.

More Jobs at Norton

Sr.Conversation Designer

chennai

2.0 - 7.0 yrs

INR 4 - 9 Lacs

AI-First Android & iOS Engineers

chennai

3.0 - 8.0 yrs

INR 5 - 10 Lacs

Software QA Engineer

chennai

3.0 - 6.0 yrs

INR 5 - 8 Lacs

Staff Data Engineer

chennai

10.0 - 15.0 yrs

INR 12 - 17 Lacs

Senior Principal Data Engineer

chennai

6.0 - 10.0 yrs

INR 8 - 12 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.