Security Architect, Applied Field Engineering

Snowflake•Denver, CO

9d•$140,000 - $183,700

About The Position

The Security Architect on Snowflake’s Applied Field Engineering team drives strategic customer engagements and builds prescriptive security frameworks for modern data platforms and AI adoption. The role helps enterprises move from legacy, siloed security tools to a unified Security Data Architecture, partnering with Sales, GTM, Engineering, and Marketing to support business transformation in the Snowflake AI Data Cloud while maintaining a strong security posture. The architect establishes security foundations across identity, data, and infrastructure; supports secure Generative and Agentic AI adoption using Snowflake Cortex; and helps customers implement governed AI frameworks, content filtering, monitoring, and access controls. The role also delivers modern security operations engagements, develops repeatable governance and identity architectures, guides business continuity and disaster recovery planning, creates technical content and tooling, and conveys customer feedback to product and engineering teams.

Requirements

At least 5 years of industry experience in Data, Security, Networking, Infrastructure, or AI Engineering.
Strong technical communication skills, including the ability to deliver compelling demos, whiteboard sessions, and presentations to technical and business stakeholders.
Ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects.
Deep understanding of Generative AI security risks, such as prompt injection and data leakage, and mitigation strategies.
Expertise in governing autonomous agents, including human-in-the-loop controls and auditability of agent-driven actions.
Mastery of data privacy techniques such as differential privacy, data masking, and secure sandboxing for sensitive training and inference data.
Proficiency in platform observability techniques, including logging, monitoring, and distributed tracing.
Expertise in IAM, including OAuth 2.0, OpenID Connect, and RBAC across cloud and on-premises environments.
Hands-on expertise securing cloud and hybrid networks, including micro-segmentation, zero-trust principles, and secure deployment of services such as Apache NiFi.
Hands-on expertise with SQL, Python, and APIs.
Proficiency in container and Kubernetes security across build and runtime, including image scanning, Pod Security Standards, network policies, service mesh, and secrets management.
Strong background aligning security programs with frameworks such as SOC 2, HIPAA, and GDPR, and managing risk through continuous monitoring and auditing.

Nice To Haves

Understanding of emerging AI regulations, such as the EU AI Act, and their impact on enterprise data strategy.
Familiarity with how Snowflake’s AI Trust Center maps to SOC 2, HIPAA, and HITRUST requirements for AI/ML workloads.
CISSP certification.

Responsibilities

Drive strategic customer engagements focused on security architecture across identity, data, and infrastructure for applications built on Snowflake.
Support customer strategies for secure AI adoption using Snowflake Cortex.
Architect governed Agentic AI frameworks in which Cortex Agents operate within Snowflake’s security perimeter.
Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through monitoring and tracing.
Enforce AI governance through role-based access control and data masking across AI-driven insights and automated actions.
Deliver workshops and hands-on engagements to help customers transition to SIEM augmentation, log ingestion into Snowflake, and cybersecurity data lakes.
Build repeatable reference architectures for identity, data governance, row-level security, and encryption.
Guide customers through business continuity and disaster recovery journeys, including multi-region deployment patterns and measurable recovery outcomes.
Create technical content and tooling to demonstrate security best practices, accelerate use-case deployment, and encourage adoption of platform functionality.
Represent the Voice of the Field by translating customer needs into actionable feedback for Snowflake product and engineering teams.