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.
Additional Job details
The base salary range for this position is $175k - $220k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us
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 all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees
Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office
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. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
