{"id":28868,"url":"https://alion.io/job/sigma-computing-senior-security-engineer-data-security","title":"Senior Security Engineer - Data Security","company":{"id":7805,"name":"Sigma Computing","domain":"sigmacomputing.com","url":"https://alion.io/company/sigma-computing","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":96,"open_postings":69,"ghost_share":0.072,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"DLP","optional":false},{"name":"SIEM","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"BigQuery","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LLM","optional":true},{"name":"Python","optional":true},{"name":"ServiceNow","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-06-16T22:54:13Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-18T01:56:56Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":122},"description":"Location: New York City or San Francisco - 4 days in office\nAbout the Role\nWe are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments.\nThis 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.\nYou will be joining a dynamic and highly technical Security Engineering team at Sigma.\nThis 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.\nWhat You'll Do\nDesign, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments.\nDevelop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation.\nBuild 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.\nBuild 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.\nDrive 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.\nDesign and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical services.\nPartner with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity while maintaining strong data protection controls.\nDesign and implement security controls for modern data platforms, data warehouses, AI-enabled systems, and cloud-native environments.\nAssess data architectures, access models, and security configurations while driving secure-by-design principles through architecture reviews, threat modeling, and security best practices.\nContinuously identify opportunities to leverage AI, automation, and modern engineering practices to solve data security challenges.\nEvaluate emerging technologies and drive adoption where they provide measurable security and operational value.\nWhat We're Looking For\nRequired Qualifications\n5+ years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related cybersecurity roles.\nBachelor or Masters in Computer Science, Cyber Security, or similar fields.\nStrong software engineering mindset with demonstrated experience building production-grade tools, automation, and security platforms.\nProven ability to build versus buy whenever practical and create scalable internal solutions.\nExperience designing and implementing platforms like Insider threat and data protection technologies (SIEM, UBA, DSPM, SSPM,DLP, Browser Protection, Endpoint detection)\nStrong understanding of data security principles including data classification, data governance, access controls, encryption, key management, and data lifecycle management.\nHands-on experience securing SaaS platforms, cloud environments, endpoints, collaboration systems, and modern data platforms.\nExperience leveraging AI to improve data protection, investigations, classification, and security workflows.\nStrong analytical, communication, and problem-solving skills.\nPreferred Qualifications\nExperience securing Snowflake, Databricks, BigQuery, Redshift, or similar modern data platforms.\nStrong understanding of AI/LLM data protection risks, data leakage prevention, and AI governance.\nBuilding programs and solving complex security challenges across enterprise-wide data Security Programs.\nExperience building internal security products, platforms, and developer-focused security tooling.\nCISSP, CCSP, or equivalent certifications.\nAdditional Job details\nThe base salary range for this position is $175k - $220k annually.\nCompensation 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.\nAbout us: \nSigma 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. \nSigma 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.\nCome join us!\nBenefits For Our Full-Time Employees:\nEquity \nGenerous health benefits\nFlexible time off policy. Take the time off you need!\nPaid bonding time for all new parents\nTraditional and Roth 401k\nCommuter and FSA benefits\nLunch Program\nDog friendly office\nSigma 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.\nNote: 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.\nOur Privacy Practices\nWhen 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). \nSigma’s use of AI\nThis hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. 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