About this AWS Snowflake Data Architect (12+ Years of Exp+ Immediate Joiners Preferred) role at 3Pillarglobal
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)**.
Good understanding of ML/LLMOps, Data Governance, Data Lineage, and CI/CD.
Excellent communication and stakeholder management skills.
What It's Like to Work at 3Pillar:
Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.
