We are looking for an AI Data Architect to design, build, govern, and evolve the single source of truth that powers every AI initiative in our organization. This platform will serve as the foundational nervous system for conversational AI assistants, dashboard intelligence, autonomous AI agents, RAG-powered applications, predictive ML models, and any AI product we build today or in the future. The resource will architect the system, drive implementation, own the data contracts that agents and AI applications depend on, enforce security and access governance for both human and agent consumers, and continuously monitor and improve the accuracy and reliability of AI outputs that flow from this platform.

Responsibilities
- Design and implement scalable data platforms using Snowflake, Databricks, Delta Lake, and cloud technologies.
- Build batch and real-time data pipelines using PySpark, Kafka, and Spark Structured Streaming.
- Develop AI-ready data architectures supporting analytics, ML, LLMs, and RAG applications.
- Design semantic models, data governance, metadata,



and data lineage solutions.
- Implement vector databases, embedding pipelines, and retrieval solutions for AI applications.
- Build and manage ML/LLMOps pipelines, model deployment, monitoring, and CI/CD.
- Ensure data security, RBAC, compliance, and governance across the platform.
- Mentor engineering teams and define architecture best practices.

Required Skills
- 12+ years of experience in Data Engineering/Data Architecture.
- Strong experience with Snowflake, Databricks, PySpark, Kafka, Delta Lake, SQL, and Python.
- Hands-on experience with AWS (S3, Glue, Redshift, Bedrock, Kinesis) or Azure.
- Experience with LangChain, LlamaIndex, OpenAI/Bedrock, RAG, Vector Databases (Pinecone, ChromaDB, FAISS, OpenSearch).
- Valuable understanding of ML/LLMOps, Data Governance, Data Lineage, and CI/CD.
- Excellent communication and stakeholder management skills.

📌 AWS Snowflake Data Architect (Noida)
🏢 3Pillar
📍 Noida