Peak Performers ยท 1 week ago
Principal Solutions Architect III
Peak Performers has partnered with a national utilities company to assist in their search for a hybrid Principal Solutions Architect III. In this role, you will define and implement robust data protection frameworks, bridging traditional tools with modern AI-centric practices, while ensuring compliance with various regulations.
Employment
Responsibilities
Define and own the data protection strategy across structured, semi-structured, and unstructured data. Align with regulatory, legal, and business mandates (e.g., NERC, SOX, CCPA, GDPR)
Architect and deploy Azure Purview for data classification, and insider risk management policies
Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore applicability of Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines
Develop strategies for legacy data de-duplication, archiving, and migration. Evaluate long-term retention risk and optimize lifecycle policies
Implement and manage DLP rules across email, endpoints, cloud storage, and collaboration platforms (e.g., Microsoft 365, SharePoint)
Provide architectural guidance to product teams and AI/ML engineers. Author security patterns, threat models, and playbooks
Evaluate and integrate third-party tools for data discovery, monitoring, and tokenization. Drive automation around classification and response
Define DSPM Strategy and Architecture
Define Data Incident Protocol and Playbook
Qualification
Required
Bachelor's Degree in Computer Science, Information Security, and/or a related field or an equivalent level of experience on a year on year basis
10+ years in information security or data architecture roles
SANS/GIAC, CISSP, or Azure Security certification
Strong understanding of cryptographic primitives and modern data security standards (AES, SHA, TLS, etc.) as well as an understanding of proposed quantum ready cryptography standards
Excellent communication skills and the ability to influence technical and executive stakeholders
Demonstrated ability to assess risk trade-offs between security, usability, and operational efficiency
Deep interest in AI safety, responsible data stewardship, and future-proofing sensitive workloads
Preferred
Previous experience with utilities or highly regulated industries
Working knowledge of structured data protection in data lakes or Azure Synapse
Experience contributing to LLM security or responsible AI design patterns
Experience with legacy data cleanup initiatives, e.g., tape archive migration
Experience with DSPM platform
Benefits
Excellent medical health, dental & vision insurance at 60 days
Our employees may choose to participate in a 403(b) retirement plan
We pay weekly through direct deposit