Senior Data Security Architect Position Available In New York, New York

Senior Data Security Architect
Our client is seeking a forward-thinking and collaborative Senior Data Security Architect to design and lead initiatives that safeguard enterprise data across its entire lifecycle. This strategic role requires a deep understanding of data security architectures, regulatory mandates, and hands-on experience securing large-scale data environments. The ideal candidate will work closely with cross-functional teams – including data engineering, architecture, and AI/ML teams-to build robust security and privacy into all aspects of data operations.

Key Responsibilities:

Develop and drive enterprise-level data protection strategies, standards, and architectural frameworks. Collaborate with engineering, data, and analytics teams to integrate security controls across data platforms, processing pipelines, and machine learning ecosystems. Establish and enforce policies for data retention, archival, and disposal in compliance with legal and regulatory requirements. Lead the implementation of data security mechanisms such as encryption (in transit, at rest, in use), masking, anonymization, and tokenization in partnership with cryptography and engineering experts. Provide security architecture guidance for emerging AI/LLM solutions and apply Agentic security best practices. Ensure audit readiness and regulatory alignment (e.g., HIPAA, CCPA) through effective control implementation and documentation. Collaborate with legal, privacy, and compliance stakeholders to address data-related risks and ensure jurisdictional compliance. Shape the security posture of data lakes, AI/ML datasets, and advanced data systems. Champion the secure design and deployment of GenAI platforms, covering areas like model governance, privacy safeguards, threat detection, and advanced attack vectors (e.g., data poisoning, inference risks). Research and evaluate next-generation technologies relevant to data and AI security. Build strong partnerships internally and externally to guide technology decisions and influence secure data practices. Create and maintain architecture blueprints, security guidelines, and best practices aligned with business goals. Deliver regular updates to executive leadership on risk exposure, program milestones, and strategic direction.

Required Skills & Experience:

Degree in Cybersecurity, Information Systems, Computer Science, or related technical discipline. Over 10 years of experience in cybersecurity, including a minimum of 5 years in data security, governance, and privacy roles. Expertise in data protection technologies such as DLP, classification, tokenization, and encryption. Proven track record securing cloud-native data platforms such as Snowflake, Databricks, or similar. Familiar with MLOps environments and securing the end-to-end model lifecycle-training, deployment, and ongoing monitoring. In-depth knowledge of AI security threats and mitigation strategies, including adversarial attacks and secure model handling. Understanding of security frameworks and best practices for managing the data lifecycle. Exposure to governance and metadata management tools such as Informatica, Microsoft Purview, or Collibra. Solid grasp of public cloud security (especially AWS) as it applies to data services and infrastructure. Strong understanding of privacy regulations such as CCPA and HIPAA. Excellent communication and collaboration skills; experience influencing diverse technical teams.

Preferred Certifications:

CISSP, CCSP, or CISM CIPP/US or other recognized privacy credentials GIAC Data Protection (GDAT), AWS Certified Security – Specialty, or equivalent #SoniTech1
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Dice Id:

90999981

Position Id:

12650