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About the Role

This is a hands-on engineering role for a highly technical individual passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments. The role focuses on solving complex data security challenges through engineering, automation, and AI, rather than relying solely on commercial tools. You will join a dynamic Security Engineering team to build, scale, and continuously evolve Sigma’s data security capabilities across various platforms and systems, creating scalable security solutions to protect the organization's most critical asset: data.

Responsibilities

Design, build, and maintain security platforms, services, APIs, automation, and internal tooling to 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 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.
Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset.
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, 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.

Requirements

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

Skills

Software engineering
Building production-grade tools
Automation
Security platforms development
Scalable internal solution development
Insider threat platform design and implementation
Data protection technologies (SIEM, UBA, DSPM, SSPM, DLP, Browser Protection, Endpoint detection)
Data security principles (data classification, data governance, access controls, encryption, key management, data lifecycle management)
SaaS platform security
Cloud environment security
Endpoint security
Collaboration system security
Modern data platform security
AI for data protection, investigations, classification, and security workflows
Analytical skills
Communication skills
Problem-solving skills
Securing Snowflake, Databricks, BigQuery, Redshift
AI/LLM data protection risk understanding
Data leakage prevention
AI governance
Building enterprise-wide data security programs
Building internal security products
Building developer-focused security tooling

Location

San Francisco
New York City
London
Sydney
In-office

Work Type

Full-time
Onsite

Experience Level

5+ years of hands-on experience

Education Level

Bachelor's degree in Computer Science, Cyber Security, or similar fields
Master's degree in Computer Science, Cyber Security, or similar fields
CISSP certification (Preferred)
CCSP certification (Preferred)

Salary/Compensations

Base salary range: $175,000 - $220,000 annually

Benefits

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional 401k
Roth 401k
Commuter benefits
FSA benefits
Lunch Program
Dog friendly office

About the Company

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse.
Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows without moving data or breaking governance.
Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace.
Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced $80M in Series E financing in May 2026, led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures, and returning investors.
Sigma reached $200M in annual recurring revenue in April 2026, with over 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Equal Opportunity

Sigma is an equal opportunity employer.
We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status.