Principal-Security Engineering

Role overview

Principal-Security Engineering at Verizon

Responsibilities

• You’ll need to have:

Preferred qualifications and skills

• Experience embedding Looker visualizations directly into serverless applications or enterprise API frameworks is highly desirable.

Employment details

• Location: Chennai [India], Bangalore [India], Hyderabad [India]

About the employer

• When you join Verizon
• Verizon is seeking a highly technical, hands-on Principal Security Engineer to join our Data as a Service (DaaS) & Analytics team.

Additional role details

• You want more out of a career.
• A place to share your ideas freely — even if they’re daring or different.
• Where the true you can learn, grow, and thrive.
• At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy.
• We do what we love — driving innovation, creativity, and impact in the world.
• Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins.
• In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always.
• Want in?
• Join the #VTeamLife.
• In this senior individual contributor role , you will act as the technical North Star for our analytics engineering teams, driving the cloud-native automation strategies required to expose critical enterprise security data via robust APIs and interactive dashboards.
• This is an execution-focused, "hands-on with code" position.
• You will architect and build modern data products, leveraging the Google Cloud Platform (GCP) ecosystem to design scalable ETL/ELT pipelines and serverless application architectures.
• What you’ll be doing...
• Architecting and optimizing large-scale security data repositories within Google BigQuery, ensuring efficient partitioning, clustering, and storage tiering to support multi-terabyte analytical queries.
• Designing and implementing robust, low-latency data pipelines using GCP Dataflow services (Apache Beam) to ingest, transform, and aggregate batch and streaming data from disparate security sources into centralized data platforms.
• Designing and maintaining optimized data layers using the GCP Cloud SQL (PostgreSQL engine) to support high-throughput analytics and data consumers.
• Leading analytics engineers technically to architect and deploy production-grade automation solutions.
• Utilize GCP Cloud Run and Cloud Functions to build scalable, event-driven microservices and high-performance APIs that expose enterprise security data.
• Identifying opportunities to integrate AI/ML automation (e.g., Vertex AI, LLMs) to streamline manual data extraction, automate metadata tagging, and optimize pipeline orchestration.
• Driving the transition from standard visualization to a scalable data product model, establishing a comprehensive Looker dashboard catalog to streamline enterprise risk forecasting.
• Developing and maintaining a standardized semantic layer using LookML (Looker Modeling Language) to ensure data consistency, security access controls, and reusability across all security domains.
• Building comprehensive business cases and data models surrounding Enterprise Security Data Analysis and Reporting to drive long-term security investments.
• What we’re looking for...
• Proven experience architecting and developing solutions within Google Cloud Platform, specifically leveraging containerized deployments via Cloud Run and serverless computing via Cloud Functions.
• Deep technical mastery of Google BigQuery architecture, including nested/repeated fields, materialized views, and BigQuery Omni or ML capabilities.
• Hands-on experience building streaming and batch data processing pipelines using GCP Dataflow services.
• Advanced proficiency in writing complex, optimized SQL queries, with specific hands-on administration and optimization experience using GCP Cloud SQL utilizing the PostgreSQL engine.
• Strong hands-on coding expertise in Python to perform advanced data analysis, data mining, DevSecOps automation, and pipeline orchestration.
• Familiarity with deploying AI-driven automation workflows to improve data pipeline resilience.
• Experience utilizing visualization platforms (e.g., Tableau, Looker, Thoughtspot) to build data-driven stories tailored for business users at all levels.
• Bachelor degree in Computer Science/Information Systems or six or more years of work experience.
• Eight or more years of professional experience in data analytics, business analysis or comparable analytics position.
• Advanced proficiency in Python and writing complex, optimized SQL queries, with specific hands-on administration and optimization experience using GCP Cloud SQL utilizing the PostgreSQL engine.
• Ability to write SQL against a relational database in order to analyze and test data.
• Experience with modern DataOps/DevSecOps orchestration tools (e.g., Airflow, dbt, CI/CD pipelines) applied directly to data engineering.
• Working knowledge on Threat, Risk and Vulnerability Management is an added advantage.
• Knowledge of securing cloud data delivery layers (OAuth, OIDC, API Gateways) and enforcing data privacy/governance standards.
• Cloud Certifications
• Even better if you have one or more of the following:
• Experience in technology leadership, architecture, and Agile methodologies.
• Communication and stakeholder management skills.
• Problem solving skills to develop quick yet sound solutions to resolve complex issues.
• Experience in driving AI automation, delivering high performing and scalable applications.
• Experience with DevOps CI/CD processes to automate build and deployments.
• Experience mentoring and coaching diverse teams.
• Experience in identifying and analyzing and finding RCA for Errors and working with cross functional teams like SRE and backend team
• Experience with analytical tools and DBs like Postgres, Looker , ELK, ETL tools
• Recognizing, tracking, and communicating issues, accomplishments, milestones to the team and business partners.
• Professional Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
• Good presentation and communication skills.
• Where you’ll be working
• In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
• Scheduled Weekly Hours
• 40
• Verizon is an equal opportunity employer.
• We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.