Security Analytics Engineer, PlayStation

• 4+ years creating analytics, reporting, data engineering, or data platform solutions
• Hands-on SQL and strong knowledge of database technologies (relational, columnar, or NoSQL)
• Hands-on experience with Snowflake, our primary data platform
• Experience building data pipelines and applying data modeling concepts for analytics or data warehouse use cases
• Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures
• Experience with scripting and automation (Python, Java, R, or similar)
• Experience preparing data for, or supporting, AI-enabled analytics or machine learning workflows
• Experience with REST APIs, common data formats (JSON, XML), and platform SDKs or APIs
• Software engineering practices for analytics code: version control, testing, and CI
• Experience with large, complex data sets; security, technology, risk, or compliance data a plus
• Experience partnering with cross-functional teams, with clear written and verbal communication about data and technical tradeoffs
• Experience with web technologies (JavaScript, HTML, CSS) and third-party JavaScript visualizations

Desirable

• The successful candidate will join the Security Data Analytics team, working across PlayStation data assets and business groups
• This team develops the data products, pipelines, dashboards, and reporting that help Information Security teams understand security posture, risk trends, control effectiveness, exposure, and remediation progress
• Our work is increasingly built on automation and AI-enabled analytics, and this role builds the data foundations that make that possible
• This opening focuses on the backend of that work
• Reporting to the Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data
• Presentation-layer engineers own most visualization delivery, so your primary contribution is the reliability, structure, and performance of the data layer, including keeping it running day to day
• This is a technical, individual contributor role
• You will solve moderately complex problems with limited supervision and own a discrete workstream or a sub-set of a larger effort, working closely with a global set of stakeholders
• Design, build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics-ready data
• Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI-enabled use cases
• Develop automation that reduces manual data handling and reporting effort and improves reliability across the platform
• Prepare AI-ready data and support AI-enabled analytics and reasoning workflows built on our data platform
• Add business and technical context to security data to improve prioritization and decision-making
• Apply software engineering practices to data and analytics code, including version control, testing, code review, and CI
• Run and support the team's pipelines and data products in production: monitor health, respond to failures, and troubleshoot and resolve ingestion and pipeline issues to keep data flowing reliably
• Partner with global stakeholders across security, IT, studio, platform, and engineering teams to translate requirements into reliable data and reporting
• Document data models, pipelines, and solutions so the team can support them
• Share knowledge with teammates and contribute to team projects as priorities shift