Senior Principal Technical Architect – AI, Data Platforms & Cyber Security
- Source: LinkedIn
- Talenzaa
- On-site
- Princeton
- Full-Time
- Senior
Job Description
Required Qualifications & Technical Expertise
Professional Experience
15+ years of progressive experience in software engineering, enterprise data platforms, AI systems, and technical/security architecture within high-volume enterprise environments.
Proven track record of architecting scalable solutions adopted across large organizations while maintaining high standards of data protection and zero-trust security.
Experience leading enterprise-wide technology adoption programs, platform migrations, and security governance frameworks.
Technical Stack & Competencies
Category
Required Skills & Technologies
AI & LLM Systems
Multi-agent frameworks, OpenAI APIs, Databricks Model Serving, Async Python (aiohttp), Pydantic, Prompt Engineering, Streamlit
Cyber Risk & AI Security
LLM Threat Modeling (Prompt Injection, Jailbreaking), Guardrails, OAuth 2.0 / Entra ID / Okta, Service Principals, Delta Sharing Security
Data Governance & Security
Unity Catalog (RLS, Dynamic Column Masking, PII/PCI classification), Zero-Trust Access Patterns, SIEM logging & audit trails
Data Engineering & Platforms
Databricks (Unity Catalog, Workflows, Delta Lake, Jobs API), PySpark, Data Observability, SQL / Relational Databases
Cloud & FinOps
AWS, Azure, GCP, Cloud Security Architecture, Cloud Cost Governance / FinOps frameworks
Languages & Core Tech
Python (Advanced Async), C#, .NET Core, SQL, REST API Architecture, YAML rule engines
Governance & Licensing
Infrastructure & Licensing Governance, Enterprise Developer Tooling Administration, Token Lifecycle Management
Skills
- openai
- azure-databricks
- databricks
- Python
- aiohttp
- streamlit
- guardrails
- oauth
- microsoft-entra-id
- okta
- unity-3d
- delta-lake
- pyspark
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- c-sharp
- dot-net
- dot-net-core
- yaml
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