Senior Security Engineer - Data Security

We Love AI Jobs; San Francisco (CA); Hybrid; USD 175,000 - 220,000; Full time

Job summary

We Love AI Jobs in San Francisco is seeking a highly technical Senior Security Engineer to protect data across SaaS, cloud, endpoints, and analytics environments. You will build scalable security platforms and automate data protection workflows using AI and LLMs.

Join a hands-on security team focused on secure-by-design practices, threat modeling, and architecture reviews to safeguard data across modern data platforms and AI-enabled systems.

Qualifications

• 5+ years of hands-on experience in Security Engineering or Data Security.
• Bachelor or Masters in Computer Science, Cyber Security, or similar fields.
• Strong software engineering mindset with automation and security platforms experience.
• Experience designing and implementing data protection platforms (SIEM, UBA, DSPM, SSPM, DLP, browser protection, endpoints).
• Understanding of data security principles including classification, governance, access controls, encryption, key management, and lifecycle management.
• Hands-on experience securing SaaS, cloud environments, endpoints, collaboration systems, and data platforms.
• Experience leveraging AI to improve data protection, investigations, classification, and workflows.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Design, build, and maintain security platforms, services, APIs, and automation protecting data across cloud, SaaS, endpoint, and analytics environments.
• Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection.
• Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance.
• Build and maintain DLP controls across cloud and OS environments and decentralized datasets.
• Drive automation across DLP engineering using LLMs and agentic AI to streamline workflows.
• Design and implement security controls for SaaS apps, collaboration platforms, endpoints, and services.
• Partner with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity with strong protections.
• Design and implement controls for modern data platforms, data warehouses, and AI-enabled systems.
• Assess data architectures, access models, and security configurations with threat modeling and secure-by-design practices.
• Identify opportunities to leverage AI and automation to improve security and operations.
• Evaluate emerging technologies and drive adoption where they provide security value.

Skills

DLP

DSPM

SSPM

CASB

SIEM

UBA

Data governance

Education

Bachelor's or Master's Degree in CS/Cyber Security

Tools

Snowflake

Databricks

Job description

# Senior Security Engineer - Data SecuritySigmaSan Francisco, CA and New York, New YorkFull-time$175,000 – $220,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis engineer will develop data protection capabilities across Sigma’s SaaS applications, cloud platforms, endpoints, and analytics environments. The role combines security engineering and automation with controls for data discovery, governance, access, and AI-related data risks.* Full-time* Hybrid* 5+ years* Bachelor's or Master's Degree### Skills and expertiseDLPDSPMSSPMCASBSIEMUBASnowflakeDatabricks### Key responsibilities* Build security platforms and automation to protect data across cloud, SaaS, endpoint, and analytics environments.* Develop data discovery, classification, governance, access-control, and monitoring capabilities.* Use LLMs and agentic AI to automate data protection workflows and operations.## How this job comparesCompared with 167 open senior security jobs on October 10, 2026.Pay: This job pays $175K to $220K a year. The 75 open senior security jobs that publish US pay start at $171K on average, so this job starts in line with them.Similar open jobs: We Love AI Jobs lists 167 open senior security jobs at 85 companies.Remote work: This job is hybrid. 42 of the 167 senior security jobs (25%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. AI and LLMs are part of the role’s data protection workflows, and the engineer will address AI data risks. The central focus remains broader data security and protection across enterprise systems.## Full descriptionLocation: New York City or San Francisco - 4 days in officeAbout the RoleWe are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments.This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses.You will be joining a dynamic and highly technical Security Engineering team at Sigma.This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data.What You'll Do• Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments.• Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation.• Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information.• Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents.• Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage.• Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical services.• Partner with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity while maintaining strong data protection controls.• Design and implement security controls for modern data platforms, data warehouses, AI-enabled systems, and cloud-native environments.• Assess data architectures, access models, and security configurations while driving secure-by-design principles through architecture reviews, threat modeling, and security best practices.• Continuously identify opportunities to leverage AI, automation, and modern engineering practices to solve data security challenges.• Evaluate emerging technologies and drive adoption where they provide measurable security and operational value.What We're Looking ForRequired Qualifications• 5+ years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related cybersecurity roles.• Bachelor or Masters in Computer Science, Cyber Security, or similar fields.• Strong software engineering mindset with demonstrated experience building production-grade tools, automation, and security platforms.• Proven ability to build versus buy whenever practical and create scalable internal solutions.• Experience designing and implementing platforms like Insider threat and data protection technologies (SIEM, UBA, DSPM, SSPM,DLP, Browser Protection, Endpoint detection)• Strong understanding of data security principles including data classification, data governance, access controls, encryption, key management, and data lifecycle management.• Hands-on experience securing SaaS platforms, cloud environments, endpoints, collaboration systems, and modern data platforms.• Experience leveraging AI to improve data protection, investigations, classification, and security workflows.• Strong analytical, communication, and problem-solving skills.