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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Design and Implement Snowflake-Native Data Architectures
- Lead the creation and optimization of modern data architectures on Snowflake
- Ensure that the architecture supports high-volume data workloads
- Lead the Development of Complex, End-to-End Data Pipelines Using Native Snowflake Services
- Collaborate with Data Scientists, Analysts, and Other Stakeholders
- Ensure Data Security, Governance, and Compliance Standards Are Met
- Manage role-based access control (RBAC), data sharing, and cross-account governance using Snowflake's native security model
Requirements
What you’ll need- 7+ years of experience in data engineering or related fields
- Proven track record of designing and implementing large-scale data solutions on Snowflake or similar cloud data platforms
- 2+ years of hands-on experience with Snowflake-native pipeline services (Dynamic Tables, Streams/Tasks, Snowpipe)
- Preferred certifications include SnowPro Advanced: Data Engineer, SnowPro Core, or AWS/Azure/GCP data engineering certifications
Benefits
Comp & perks- A comprehensive benefits package including paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata pipelinesSnowflakeDynamic TablesStreamsTasksSnowpipedata engineeringdata solutionsdata workloads
Soft Skills
collaborationleadershipcommunication
Certifications
SnowPro Advanced: Data EngineerSnowPro CoreAWS data engineering certificationAzure data engineering certificationGCP data engineering certification
