Senior Security Engineer - Data Security

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 For

Required 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.

Preferred Qualifications

• Experience securing Snowflake, Databricks, BigQuery, Redshift, or similar modern data platforms.
• Strong understanding of AI/LLM data protection risks, data leakage prevention, and AI governance.
• Building programs and solving complex security challenges across enterprise-wide data Security Programs.
• Experience building internal security products, platforms, and developer-focused security tooling.
• CISSP, CCSP, or equivalent certifications.

Compensation & Benefits

• Base salary range: $175k - $220k annually.
• Eligible for stock options.
• Comprehensive benefits package including generous health benefits, flexible time off, paid bonding time, 401k, commuter and FSA benefits, lunch program, and dog friendly office.