Senior Security Engineer - Data Security
Sigma Computing3 months ago
Base Salary
$175k - $220k/yr
Responsibilities
- Design, build, and maintain security platforms, services, APIs, automation, and internal tooling protecting organizational data.
- Develop data discovery, classification, governance, access control, monitoring, and protection capabilities.
- Build and mature CASB, DLP, DSPM, SSPM, insider risk, and data access governance capabilities.
- Build and tune DLP controls across cloud, operating system, and decentralized data environments.
- Use LLMs, agentic AI, and automation to streamline DLP workflows and expand data protection coverage.
- Implement security controls across SaaS applications, collaboration platforms, endpoints, business-critical services, data warehouses, AI-enabled systems, and cloud-native environments.
- Conduct architecture reviews and threat modeling while promoting secure-by-design principles.
- Partner with IT, Engineering, Privacy, Legal, and business teams to enable productivity while maintaining data protection.
- Evaluate emerging technologies and adopt solutions that provide measurable security or operational value.
Requirements
- At least 5 years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related cybersecurity roles.
- Bachelor’s or master’s degree in Computer Science, Cyber Security, or a similar field.
- Experience building production-grade security tools, automation, platforms, and internal solutions.
- Experience with insider threat and data protection technologies including SIEM, UBA, DSPM, SSPM, DLP, browser protection, and endpoint detection.
- Strong understanding of 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 using AI to improve data protection, investigations, classification, and security workflows.
- Experience securing Snowflake, Databricks, BigQuery, Redshift, or similar modern data platforms is preferred.
- Understanding of AI/LLM data protection risks, data leakage prevention, and AI governance is preferred.
- Experience building internal security products, platforms, and developer-focused security tooling is preferred.
- CISSP, CCSP, or equivalent certification is preferred.
- Strong analytical, communication, and problem-solving skills.
Benefits
- Equity and stock options
- Generous health benefits
- Flexible time off policy
- Paid bonding time for all new parents
- Traditional and Roth 401(k)
- Commuter and FSA benefits
- Lunch program
- Dog-friendly office
- In-office work environment in San Francisco, New York City, London, and Sydney
About Sigma Computing
Sigma Computing builds an AI apps and analytics platform that runs directly on cloud data warehouses for business and technical teams to explore live data, build apps, and automate workflows. It’s delivered as SaaS with spreadsheet, SQL, and Python interfaces for governed reporting, embedded analytics, and data applications. Privately held in San Francisco, it serves customers like JPMorgan Chase and Colgate-Palmolive and raised a Series E round in May 2026.