Snowflake Architect
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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