Technical Recruiter hiring for Snap Inc.'s security and machine learning teams. Full life cycle recruiting support for technical talent across Snap's innovations.
About the role
- Data Security Architect implementing enterprise-wide data protection solutions for global clients. Focusing on data discovery, classification, governance, and compliance across various platforms.
Responsibilities
- Design and implement enterprise-wide mechanisms to discover where data resides across on-premises, cloud, SaaS, data lakes, and third-party environments.
- Establish and maintain an authoritative data inventory covering structured and unstructured data.
- Define and enforce standards to identify and classify data types, including confidential, regulated, proprietary, and intellectual property data.
- Ensure classification scales across diverse data sources and platforms.
- Identify and document data sources, data flows, and data lineage across systems.
- Assess risk associated with data movement, duplication, and exposure.
- Assess and govern how data is consumed by AI agents, ML models, and analytics platforms.
- Evaluate risks associated with training data, inference data, prompts, and outputs.
- Define controls to prevent unauthorized use of sensitive or IP data in AI workflows.
- Evaluate and implement IP protection mechanisms, including data watermarking, tagging, and fingerprinting.
- Ensure safeguards are in place to prevent data exfiltration, misuse, or IP leakage.
- Define data protection architecture aligned with least privilege, zero trust, and defense-in-depth principles.
- Partner with IAM, cloud security, and application teams to enforce access controls.
- Drive integration with DSPM, DLP, encryption, and monitoring solutions.
- Translate regulatory, legal, and contractual requirements into actionable data protection controls.
- Support audits, risk assessments, and incident response with defensible data intelligence.
- Establish metrics and reporting for data risk posture.
- Serve as a trusted advisor to engineering, data, legal, privacy, and AI teams.
- Lead architectural reviews and influence platform design decisions.
- Mentor junior architects and security engineers.
Requirements
- 13–15 years of experience in data security, information protection, security architecture, or related roles.
- Deep expertise in data discovery, classification, and access governance.
- Strong understanding of cloud data platforms (AWS, Azure, GCP) and SaaS ecosystems.
- Hands-on experience with DSPM, DLP, encryption, or data governance tools.
- Solid understanding of AI/ML data pipelines and AI risk management.
- Experience implementing IP protection techniques, including watermarking or tagging.
- Strong knowledge of regulatory frameworks (GDPR, SOX, privacy, IP protection).
- Ability to translate complex technical risks into business-level insights.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
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