1 day ago
Base Salary
$140k - $184k/yr
Responsibilities
- Drive strategic customer engagements focused on security architecture across identity, data, infrastructure, and Snowflake applications.
- Help customers securely adopt generative and agentic AI using Snowflake Cortex, Cortex Agents, Cortex Guard, AI Observability, RBAC, and data masking.
- Deliver workshops and hands-on engagements for SIEM augmentation, log ingestion, cybersecurity data lakes, identity, governance, encryption, and resilience.
- Create repeatable reference architectures, technical content, and tooling that accelerate secure deployments and platform adoption.
- Act as the voice of the field by translating customer needs into feedback for Snowflake product and engineering teams.
- Present technical demos, whiteboard sessions, and recommendations to technical stakeholders, business leaders, and enterprise architects.
Requirements
- At least 5 years of industry experience in data, security, networking, infrastructure, or AI engineering.
- Strong technical communication skills, including demos, whiteboarding, and presentations for technical and business audiences.
- Ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects.
- Deep knowledge of generative AI security risks, agentic AI governance, human-in-the-loop controls, auditability, and data privacy.
- Expertise in IAM, OAuth 2.0, OpenID Connect, RBAC, secure cloud and hybrid networking, observability, and Kubernetes security.
- Hands-on expertise with SQL, Python, and APIs.
- Strong GRC experience involving regulatory frameworks such as SOC 2, HIPAA, and GDPR.
- Familiarity with EU AI Act requirements, Snowflake’s AI Trust Center, HITRUST, and AI/ML workload compliance is preferred.
- CISSP certification is preferred.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.