Snowflake Architect with PySpark
Skills
Data ArchitectsPysparkSnowflakeSnowflake Cloud
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 15+ years of experience in data architecture or related roles
- Strong hands-on experience with Snowflake data warehousing
- Strong PySpark expertise for ETL development
- Experience building scalable cloud data solutions
- Experience delivering high-performance data pipelines
- Experience working with business and technical teams
- Knowledge of modern data engineering practices
Nice to have
- Cloud-focused
- Analytical
- Collaborative
- High-performance mindset
Day to day
- Design and build scalable cloud data solutions using Snowflake and PySpark
- Develop high-performance ETL pipelines and robust data workflows
- Collaborate closely with business and technical teams to deliver analytics platforms