HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Principal Data Architect in NY/NJ. Below is the detailed job description.
Role: Principal Data Architect
Location: Flexible / Hybrid (NY/NJ)
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)
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