Role: Principal Data Architect
Location: Hybrid (NY/NJ)
Job Type: Full Time
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
1. Data Platform Architecture
-
Architect 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 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.
3. 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/Google Cloud Platform/Snowflake/Databricks)
Never miss an opportunity! Create an alert based on the job you applied for.