Principal Data Architect
Inficare
Role: Principal Data Architect
Location: Flexible / Hybrid (NY/NJ)
Full Time job role 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
Location: Flexible / Hybrid (NY/NJ)
Full Time job role 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.
- 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.
- 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.
- 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
- 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
- Experience in BFSI or regulated industries
- Exposure to large-scale AI transformation initiatives
- Certifications in cloud or data platforms (AWS/Azure/GCP/Snowflake/Databricks)
Vacancy posted 3 days ago
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