Security Engineer

• Design and implement the backbone of Product Security’s data ecosystem, with responsibilities including:
• Data Architecture & Blueprint – Define and implement the strategic vision for a secure, scalable, and reliable data architecture, including models, standards, and flows for ingesting, processing, and storing risk, vulnerability, and compliance data.
• Ontology & Standardization – Build a centralized data ontology, creating consistency and a shared language across all tools, systems, and teams.
• Pipeline Development – Design, optimize, and maintain complex ETL/ELT pipelines (Python, SQL, etc.) to consolidate data from diverse sources into warehouses, lakes, or analytics platforms.
• Automation & AI – Automate data flows end-to-end, incorporating intelligent automation and AI-driven solutions to improve efficiency and security operations.
• Governance & Optimization – Establish and enforce data governance practices, ensuring data quality, accuracy, compliance, and cost-efficient performance at scale.
• Insights & Reporting – Enable teams with BI tools (e.g., Tableau) to create dashboards, reports, and analytics that surface actionable insights and trends.
• Collaboration & Communication – Act as the bridge between Product Security teams, translating requirements into scalable solutions and ensuring alignment across stakeholders.
• Technology Evaluation – Assess and recommend emerging data and AI/ML technologies that can strengthen security data capabilities and enhance automation.

Senior Data Architect – Product Security

Security Consultant

API Security Engineer

Senior Product Marketing Manager – Cloud Security

IT Workday Security Manager

Director, Sales – Cloud Security Overlay