AWS Snowflake Data Architect

📋 Description Design scalable data platforms using Snowflake, Databricks, Delta Lake, and cloud tech. Build batch and real-time data pipelines with PySpark, Kafka, Spark Streaming. Develop AI-ready data architectures for analytics, ML, LLMs, and RAG. Design semantic models, governance, metadata, and lineage solutions. Implement vector databases and embedding pipelines for AI apps. Build ML/LLMOps pipelines, deployment, monitoring, CI/CD. 🎯 Requirements 12+ years in Data Engineering / Data Architecture. Snowflake, Databricks, PySpark, Kafka, Delta Lake, SQL, Python. Hands-on AWS (S3, Glue, Redshift, Bedrock, Kinesis) or Azure. LangChain, LlamaIndex, OpenAI/Bedrock, RAG, Pinecone/ChromaDB/FAISS/OpenSearch. ML/LLMOps, Data Governance, Data Lineage, CI/CD. Excellent communication and stakeholder mgmt. 🎁 Benefits Flexible, remote-first culture prioritizing well-being. Global team across continents. Your voice matters with open feedback channels. Growth through diverse clients and challenges. Culture: Collaboration, Outperform, Respect, Evolve.