Principal Data Architect

Job Title: Principal Data ArchitectLocation: New York, NY/New Jersey, NJ (Hybrid)Duration: Full Time"Role OverviewThe Principal Data Architect will lead the design and evolution of enterprise-scale data and AI platforms, enabling advanced analytics, Generative AI, and data-driven decision-making. This role requires deep expertise across cloud ecosystems, modern data architectures, and AI/ML frameworks, with a strong focus on governance, scalability, and security.Key Responsibilities1. Data Platform ArchitectureArchitect scalable, high-performance cloud data platforms across hyperscaler’s (AWS, Azure, Google Cloud).Design and implement modern data stack solutions leveraging technologies such as Snowflake and Databricks.Define data ingestion, transformation, and serving architectures supporting real-time and batch workloads.Drive standardization of data architecture patterns across the organization.2. AI & Machine Learning ArchitectureDesign and implement architectures for:Generative AI solutionsRetrieval-Augmented Generation (RAG)Vector databases and semantic search frameworksAgentic AI frameworks and orchestration patternsDefine and operationalize MLOps and LLMOps pipelines for model lifecycle management.Enable scalable deployment and monitoring of AI/ML models in production environments.3. Data Governance, Security & ComplianceEstablish enterprise-wide data governance frameworks covering:Data quality and validation standardsData lineage and traceabilityMaster Data Management (MDM)Implement AI governance controls to:Mitigate model hallucinationsEnsure explainability and reliabilityProtect data privacy and regulatory complianceDefine access control, encryption, and security best practices for data and AI platforms.