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.
Verizon is seeking a highly technical, hands-on Principal Security Engineer to join our Data as a Service (DaaS) & Analytics team. 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.
Experience embedding Looker visualizations directly into serverless applications or enterprise API frameworks is highly desirable.
You’ll need to have:
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.
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
40
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
