Principal Data Architect Job New York New York USA,IT/Tech

Location: New York

Role Overview

The 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 Responsibilities

Data Platform Architecture

Architect scalable, high-performance cloud data platforms across hyperscalers (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.

AI & Machine Learning Architecture

Design and implement architectures for:
Generative AI solutions
Retrieval-Augmented Generation (RAG)
Vector databases and semantic search frameworks
Agentic AI frameworks and orchestration patterns
Define and operationalize MLOps and LLMOps pipelines for model lifecycle management.
Enable scalable deployment and monitoring of AI/ML models in production environments.

Data Governance, Security & Compliance

Establish enterprise-wide data governance frameworks covering:
Data quality and validation standards
Data lineage and traceability
Master Data Management (MDM)

Implement AI governance controls to:
Mitigate model hallucinations
Ensure explainability and reliability
Protect data privacy and regulatory compliance

Define access control, encryption, and security best practices for data and AI platforms.

Required Skills & Expertise

Strong experience in cloud platforms: AWS, Azure, or Google Cloud
Deep expertise in modern data platforms:
Snowflake, Databricks
Hands-on experience in AI/ML architecture, including GenAI and RAG
Knowledge of vector databases (e.g., Pinecone, FAISS, or equivalent)
Experience with MLOps/LLMOps tools and frameworks
Strong understanding of data governance, privacy, and compliance standards
Proven ability to design and scale enterprise data platforms

Leadership & Stakeholder Management

Provide architectural leadership across multiple programs and portfolios
Collaborate with business, engineering, and AI teams to align architecture with business outcomes
Mentor senior engineers and architects on best practices

Preferred Qualifications

Experience in BFSI or regulated industries
Exposure to large-scale AI transformation initiatives
Certifications in cloud or data platforms (AWS/Azure/GCP/Snowflake/Databricks)

#J-18808-Ljbffr