Senior Security Architect; Applied Field Engineering

Responsibilities

• Enterprises are modernizing data platforms at an exponential rate to meet demands for innovation, specifically with the rise of Generative and Agentic AI
• As the leading AI and BI platform, Snowflake requires a secure‑by‑design foundation to drive business value
• The Security Applied Field Engineering (AFE) organization is at the forefront of this effort, ensuring that security is a strategic accelerator rather than a bottleneck
• As a Senior Security Architect on the Applied Field Engineering team, you will drive strategic customer engagements and build the prescriptive frameworks required for the modern era
• You will transition customers from legacy, siloed security tools to a unified Security Data Architecture
• You will partner closely with Sales, GTM, Engineering, and Marketing to help customers transform their business within the Snowflake AI Data Cloud while maintaining a world‑class security posture
• Security Architecture Foundation:
  Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake
• AI Security & Trust Foundations:
  Support customer strategy for secure AI adoption, leveraging Snowflake Cortex to bring state‑of‑the‑art LLMs directly to customer data within a secure environment
• Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries, autonomously orchestrating tasks while inheriting Snowflake’s native security perimeter
• Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through rigorous monitoring and tracing
• Ensure AI governance by enforcing Role‑Based Access Control (RBAC) and data masking across all AI‑driven insights and automated actions
• Modern Security Operations (Sec Ops):
  Deliver workshops and hands‑on engagements to transition customers from legacy infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake
• Governance & Identity:
  Build repeatable reference architectures and frameworks for Identity (IAM), Data Governance, Row‑Level Security, and Encryption to accelerate well‑architected deployments
• Resilience & Compliance:
  Guide customers through end‑to‑end journeys for BC/DR (Business Continuity/Disaster Recovery), including multi‑region deployment patterns and measurable recovery outcomes
• Tooling and Content:
  Drive the creation of relevant technical content and tooling to showcase security best practices, accelerate new use case deployments, and adoption of new platform functionality
• Voice of the Field:
  Influence product roadmaps by serving as the Voice of the Field to Snowflake’s product and engineering teams, translating customer needs into actionable feedback

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work‑from‑home equipment
• On‑demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time‑off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre‑tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program

• Communication
  
  Skills:
  
  Strong technical communications skills with the ability to deliver compelling demos, whiteboard sessions, and presentations to both technical and business stakeholders
• Customer‑facing
  
  Skills:
  
  The ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects
• 5+ years of industry experience in Data, Security, Networking, Infrastructure or AI Engineering
• Governance, Risk, and Compliance (GRC):
  Strong background in aligning security programs with regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing
• Agentic AI Governance:
  Expertise in governing Autonomous Agents, ensuring “Human‑in‑the‑loop” controls and auditability for agent‑driven actions
• Platform Observability:
  Proficiency in observability techniques including logging,…