---
title: 'Senior Security Engineer - Data Security at Sigma Computing'
canonical: 'https://feeny.ai/job/senior-security-engineer-data-security-sigma-computing-san-francisco-ca-and-new-r4zas7pb4h5n'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Security Engineer - Data Security at Sigma Computing

- **Company:** Sigma Computing
- **Location:** San Francisco CA and New York, NY
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7774471003

## Job description

Location: New York City or San Francisco - 4 days in office

## About the Role

We 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 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](https://www.sigmacomputing.com/legal/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.

## About Sigma Computing

## Company Overview
- **One-liner**: Sigma Computing provides an AI-powered analytics and application platform that enables business and technical teams to build governed AI apps and dashboards directly on their cloud data warehouse.
- **Entity Type**: Private (Series E, $3B valuation as of May 2026)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Mike Palmer (CEO), Rob Woollen (CTO/Co‑founder) [sigmacputing.com/company](https://www.sigmacomputing.com/company)

## Core Business
- **Primary industry**: Analytics and Business Intelligence, AI Applications
- **Target customers**: B2B, Enterprise, data and analytics teams, business users
- **Mission or purpose statement**: “Help us build the future of AI, data apps, and analytics.” [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)

## Products & Services
- **Sigma Platform**: Warehouse‑native analytics workspace with spreadsheet, SQL, Python, and visual builders for live query, writeback, and collaboration.
- **Sigma Agents**: No‑code AI agents that operate within governed warehouse data to automate workflows.
- **Sigma Assistant**: AI copilot for natural‑language data questions and app building.
- **Sigma Data Modeling Skills for AI Agents**: Lets data engineers build and manage Sigma models from AI coding tools like Claude Code, Cursor, and Snowflake Cortex Code.
- **Sigma MCP Server**: Provides governed answers from data directly in AI chat assistants such as ChatGPT and Claude.

## Market Standing
- **Valuation**: $3 billion (Series E, May 2026) [sigmacomputing.com/resources/announcements/series-e](https://www.sigmacomputing.com/resources/announcements/series-e)
- **Key Metric**: $200M Annual Recurring Revenue (as of April 2026); Total funding $581.3M across 7 rounds [LinkedIn](https://www.linkedin.com/company/sigmacomputing)
- **Notable Investors/Partners**: Princeville Capital (lead), Databricks Ventures, ServiceNow Ventures, Workday Ventures, Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, XN; J.P. Morgan and Allen & Company as placement agents. Key partners: Snowflake (BI Partner of the Year), Databricks, Fivetran. [series‑e page, careers page]
- **Growth Signals**: $200M ARR (doubled YoY), 2,000+ customers including Fortune 10, 1.1M+ new active users added in last fiscal year, 100%+ YoY growth, headcount 730 (+43.9% YoY), APJ expansion with Sydney HQ, Sigma Agents fastest adopted feature, 2025 Gartner Magic Quadrant for Analytics and BI, 2024 SaaS Award for Highest Customer Satisfaction. [LinkedIn, series‑e page](https://www.sigmacomputing.com/resources/announcements/series-e)

## Competitive Advantages
- **Warehouse‑native architecture**: Queries data directly in the cloud warehouse – security, governance, audit, and lineage are inherited at the source.
- **Multi‑modal interface**: Spreadsheet, SQL, Python, and AI in one workspace, enabling every user type.
- **Governed AI**: Build AI apps/agents without moving data; full IT control over permissions and telemetry.
- **Strong ecosystem**: Deep integrations with Snowflake, Databricks, Fivetran; recognized as top partner by major data platforms.

## Strategic Focus
- **AI‑first product expansion**: Accelerating agentic analytics, copilot, and MCP server capabilities.
- **International growth**: New APJ headquarters in Sydney, continued EMEA presence (London office).
- **Enterprise scale**: Targeting larger deployments with governed AI and operational workflows.
- **Developer enablement**: Supporting vibe coding and AI coding agents (Cursor, Claude Code) for data model creation.

## Why Work Here
- **Culture**: Data‑driven, velocity‑ and learning‑focused; bi‑annual hackathons; flexible schedule and unlimited time off. [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)
- **Work environment**: Hybrid/remote flexibility (“work in the way that suits you”); offices in San Francisco, New York City, London, and Sydney.
- **Perks**: Daily lunch via DoorDash, unlimited snacks/coffee, Unagi scooter benefit; comprehensive health/dental/vision, parental leave; wellness benefits (Carrot Pro, Wellhub+, Rightway, OneMedical); 401(k) with match (US); pension with 3% match and commuter benefit (UK); competitive pay; professional development support (conferences, L&D, clear career progression). [careers page](https://www.sigmacomputing.com/company/careers)
- **Engineering culture**: Strong AI/ML, backend, frontend, fullstack roles; new grad program; focus on innovation, observability, and reliability. Many open engineering positions as the company scales rapidly.

## Sources
1. [Sigma Computing Careers Page](https://www.sigmacomputing.com/company/careers)
2. [Sigma Computing Homepage](https://www.sigmacomputing.com/)
3. [Sigma Computing Company / Mission Page](https://www.sigmacomputing.com/company)
4. [Sigma Computing LinkedIn Profile](https://www.linkedin.com/company/sigmacomputing)
5. [Sigma Series E Announcement](https://www.sigmacomputing.com/resources/announcements/series-e)

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