{"id":2436242,"url":"https://alion.io/job/verizon-principal-security-engineering","title":"Principal-Security Engineering","company":{"id":96912,"name":"Verizon","domain":"verizon.com","url":"https://alion.io/company/verizon-about","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Security","role_family":"Security","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Vertex AI","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-10-13T10:44:27Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T16:01:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"When you join Verizon\nYou 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.\nVerizon 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.\nWhat you’ll be doing...\nArchitecting and optimizing large-scale security data repositories within Google BigQuery, ensuring efficient partitioning, clustering, and storage tiering to support multi-terabyte analytical queries.\n\nDesigning 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.\n\nDesigning and maintaining optimized data layers using the GCP Cloud SQL (PostgreSQL engine) to support high-throughput analytics and data consumers.\n\nLeading 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.\n\nIdentifying opportunities to integrate AI/ML automation (e.g., Vertex AI, LLMs) to streamline manual data extraction, automate metadata tagging, and optimize pipeline orchestration.\n\nDriving the transition from standard visualization to a scalable data product model, establishing a comprehensive Looker dashboard catalog to streamline enterprise risk forecasting.\n\nDeveloping and maintaining a standardized semantic layer using LookML (Looker Modeling Language) to ensure data consistency, security access controls, and reusability across all security domains.\n\nBuilding comprehensive business cases and data models surrounding Enterprise Security Data Analysis and Reporting to drive long-term security investments.\n\nWhat we’re looking for...\nProven experience architecting and developing solutions within Google Cloud Platform, specifically leveraging containerized deployments via Cloud Run and serverless computing via Cloud Functions.\n\nDeep technical mastery of Google BigQuery architecture, including nested/repeated fields, materialized views, and BigQuery Omni or ML capabilities.\n\nHands-on experience building streaming and batch data processing pipelines using GCP Dataflow services.\n\nAdvanced proficiency in writing complex, optimized SQL queries, with specific hands-on administration and optimization experience using GCP Cloud SQL utilizing the PostgreSQL engine.\n\nStrong hands-on coding expertise in Python to perform advanced data analysis, data mining, DevSecOps automation, and pipeline orchestration.\n\nFamiliarity with deploying AI-driven automation workflows to improve data pipeline resilience.\n\nExperience utilizing visualization platforms (e.g., Tableau, Looker, Thoughtspot) to build data-driven stories tailored for business users at all levels.\n\nExperience embedding Looker visualizations directly into serverless applications or enterprise API frameworks is highly desirable.\n\nYou’ll need to have:\nBachelor degree in Computer Science/Information Systems or six or more years of work experience.\n\nEight or more years of professional experience in data analytics, business analysis or comparable analytics position.\n\nAdvanced 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.\n\nAbility to write SQL against a relational database in order to analyze and test data.\n\nExperience with modern DataOps/DevSecOps orchestration tools (e.g., Airflow, dbt, CI/CD pipelines) applied directly to data engineering.\n\nWorking knowledge on Threat, Risk and Vulnerability Management is an added advantage.\n\nKnowledge of securing cloud data delivery layers (OAuth, OIDC, API Gateways) and enforcing data privacy/governance standards.\n\nCloud Certifications\n\nEven better if you have one or more of the following:\nExperience in technology leadership, architecture, and Agile methodologies.\n\nCommunication and stakeholder management skills.\n\nProblem solving skills to develop quick yet sound solutions to resolve complex issues.\n\nExperience in driving AI automation, delivering high performing and scalable applications.\n\nExperience with DevOps CI/CD processes to automate build and deployments.\n\nExperience mentoring and coaching diverse teams.\n\nExperience in identifying and analyzing and finding RCA for Errors and working with cross functional teams like SRE and backend team\n\nExperience with analytical tools and DBs like Postgres, Looker , ELK, ETL tools\n\nRecognizing, tracking, and communicating issues, accomplishments, milestones to the team and business partners.\n\nProfessional Google Cloud Professional Data Engineer or Professional Cloud Architect certification.\n\nGood presentation and communication skills.\n\nWhere you’ll be working\nIn 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\n40Equal Employment Opportunity\nVerizon is an equal opportunity employer. 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