Senior Security Engineer - Data Security

Overview In this role you will design and operate security platforms that protect Sigma’s data across cloud, SaaS, endpoints, and analytics environments. You will build scalable, automated solutions and leverage AI to enhance data protection. You’ll partner across IT, engineering, and privacy to enable secure productivity while advancing data governance and risk reduction. This hands-on role suits builders who want to influence security architecture at scale in a data-centric, AI-enabled organization. You will be at the forefront of data security in a fast-growing, tech-driven company. Compensation / Benefitsequityhealth benefitsflexible time offpaid parental leavetraditional and Roth 401kcommuter and FSA benefits ResponsibilitiesDesign, build, and maintain security platforms, services, APIs, automation, and internal tooling to protect data across cloud, SaaS, endpoint, and analytics environmentsDevelop scalable data discovery, classification, governance, access controls, monitoring, and protection solutions using modern engineering practicesAdvance DLP, DSPM, SSPM, CASB, insider risk, and data access governance to minimize data exposure and unauthorized accessCreate and maintain DLP controls across multiple cloud/OS environments and decentralized datasets, tuning prevention capabilitiesDrive automation across DLP engineering and operations using LLMs and agentic AI to scale data protection coverageImplement security controls for SaaS applications, collaboration platforms, endpoints, and critical servicesCollaborate with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity while enforcing data protectionDesign and implement security controls for data platforms, data warehouses, AI-enabled systems, and cloud-native environmentsAssess data architectures, access models, and security configurations; perform threat modeling and secure-by-design reviewsIdentify opportunities to apply AI, automation, and modern engineering to data security challengesEvaluate emerging technologies and drive value-based adoption Key requirements5+ years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related rolesBachelor or Masters in Computer Science, Cyber Security, or similar fieldsStrong software engineering mindset with production-grade tooling, automation, and security platforms experienceProven ability to build internal solutions and opt for build-over-buy when practicalExperience 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 (classification, governance, access controls, encryption, key management, data lifecycle)Hands-on experience securing SaaS, cloud, endpoints, collaboration systems, and modern data platformsExperience leveraging AI to enhance data protection, investigations, classification, and workflowsStrong analytical, communication, and problem-solving skillsanalytical thinkingclear communicationproblem-solvingDSPMSSPMDLP