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.