Snowflake Architect

Key responsibilities Design and implement Snowflake-based data architecture and data models Build and optimise data pipelines (ETL/ELT) using Python and advanced SQL Orchestrate workflows with dbt and Airflow or an equivalent tool Deploy and manage data solutions on AWS, Azure or GCP Set up CI/CD and version control using Git Enforce data quality, governance and security standards Build GenAI-ready data architecture, including RAG and AI agents that interact securely with enterprise data Must-have skills Python Advanced SQL Data pipelines / ETL / ELT Snowflake Data modeling dbt Airflow or equivalent Cloud: AWS, Azure or GCP Git and CI/CD Data quality and governance Good to have Spark / PySpark Kafka / streaming Iceberg / Delta Lake Docker / Kubernetes Data observability Semantic layer Cost and performance optimisation GenAI exposure RAG AI agents MCP GenAI-ready data architecture Building agents that securely interact with enterprise data