Data Security Engineering Lead

Nebius·Tel Aviv, Israel·1 апр.

Data Security Engineering Lead

🏢 ОфисLeadПолная занятость

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Наша компания

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Чем предстоит заниматься

We are seeking an experienced Data Protection Lead to join the Cyber Security organization

This role combines hands-on Data Leakage Prevention (DLP) engineering with Data Security Posture Management (DSPM) to deliver end-to-end data protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them

You will own the data protection lifecycle from discovery and classification through policy enforcement and incident response. The role requires deep technical proficiency in DLP platforms and DSPM tooling, combined with the ability to collaborate with Security, IT, Engineering, Product, Privacy and GRC teams to reduce data exposure risks and embed strong data governance practices

Lead and own the organization’s data protection domain, including strategy, standards, and hands-on technical implementation

Engineer, deploy, and continuously tune DLP policies across endpoints, email, SaaS, network proxies, and cloud platforms - covering both inline and API-based enforcement modes

Design and implement DSPM solutions to gain continuous visibility into sensitive data posture, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments

Drive data discovery initiatives to identify and inventory sensitive data across databases, SaaS applications, endpoints, and cloud storage

Define and implement data classification frameworks, labeling standards, and data handling policies integrated with DLP and DSPM controls

Build and maintain DLP detection rules, regular expressions, fingerprinting, and machine learning-based classifiers to minimize false positives and maximize coverage

Integrate DSPM findings into DLP enforcement workflows to create a closed-loop data protection architecture

Define and enforce data access governance, including least-privilege principles and monitoring of sensitive data access patterns

Monitor, triage, and investigate DLP alerts and DSPM-identified risks, collaborating with SOC and Security teams on escalation and remediation

Conduct risk assessments and identify gaps in data protection controls across systems, pipelines, and business processes

Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to data security and privacy

Collaborate with Engineering, IT, Product, and GRC teams to embed data security controls into CI/CD pipelines, systems, and workflows

Maintain documentation, runbooks, and guidelines for DLP operations, DSPM posture management, and data security practices

Наши требования

6+ years of experience in cyber security, with a strong focus on data security, data protection, or information security

Proven hands-on engineering experience with enterprise DLP platforms - including policy authoring, rule tuning, incident workflow configuration, and platform administration (e.g., Microsoft Purview DLP, Symantec DLP, Forcepoint, or equivalent)

Hands-on experience deploying and operating DSPM tools (e.g., Cyera, Varonis, Rubrik Security Cloud, Normalyze, Securiti, or equivalent) to manage cloud data exposure and classification at scale

Deep understanding of DLP enforcement mechanisms: endpoint DLP, network DLP, email DLP, and cloud/API-based DLP controls

Strong experience with data discovery and classification across cloud environments (AWS, Azure, GCP), SaaS platforms, and on-premises systems

Ability to write and optimize detection logic - regular expressions, data fingerprinting, document fingerprinting, and EDM (Exact Data Matching)

Experience integrating DLP and DSPM tools with SIEM, SOAR, and ticketing systems for alert routing and automated response

Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores

Strong understanding of identity and access management and data access governance principles

Experience working cross-functionally with Security, IT, Engineering, Product, Privacy and GRC teams

Strong analytical mindset with the ability to communicate data security risks clearly to technical and non-technical stakeholders

Excellent written and verbal communication skills in English

Proactive, detail-oriented, and ownership-driven

Experience building or scaling a DLP or data protection program from the ground up in a growing organization

Familiarity with CASB and SSE platforms (e.g., Netskope, Zscaler) and their data protection capabilities

Experience with cloud-native data security services (AWS Macie, Azure Purview, Google DLP API)

Knowledge of privacy and regulatory frameworks (GDPR, ISO 27001, SOC 2, CCPA)

Scripting or automation skills (Python, PowerShell) for DLP policy management or DSPM integration workflows

Relevant certifications such as CISSP, CISM, CDLP, or vendor-specific DLP/DSPM certifications

BSc in Computer Science, Information Security, or a related field

Мы предлагаем

Competitive compensation

Career growth and learning opportunities

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI projects

International environment and talented teams

Дополнительно

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Nebius

Tel Aviv, Israel

ГрейдLead

ЗанятостьПолная занятость

РегионИзраиль

ФорматОфис

ИсточникСкрыто

Опубликовано1 апр.

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