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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Snowflake architecture and engineering, with a strong focus on designing scalable and secure data solutions. Proficient in developing ETL pipelines, optimizing Snowflake environments, and mentoring junior team members in data platform fundamentals.
Highest-signal resume keywords
Snowflake ArchitectureETL Pipeline DevelopmentAdvanced SQL ProficiencyPython for Data ProcessingSnowflake SnowPro Advanced Architect Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Snowflake Data SolutionsETL PipelinesSnowflake StreamsSQLSnowSQLStored ProceduresData ModelingSnowpipeTime TravelFail Safe
Soft Skills
MentoringCollaborationProblem Solving
Certifications & Qualifications
Snowflake SnowPro Advanced Architect CertificationData Warehousing CertificationCloud Data Platform Architecture Certification
Industry Keywords
Data ArchitectureData EngineeringModern Data PlatformsData Warehousing
Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Design and architect scalable, secure, and high-performance Snowflake data solutions
- Develop and implement ETL pipelines using Snowflake Streams, Python, and SQL
- Optimize Snowflake environments for performance, cost, and reliability using Time Travel, Fail Safe, and Snowpipe
- Lead modeling and structuring of complex Snowflake data warehouses
- Configure and manage SnowSQL, stored procedures, and advanced SQL scripts
- Collaborate with cross-functional teams to define data platform requirements and deliver modern data solutions
- Troubleshoot and resolve architectural and operational issues within Snowflake and related data platforms
- Mentor and guide junior architects and engineers on Snowflake engineering and data platform fundamentals
Requirements
What you’ll need- 15 to 18 years of experience in data architecture and engineering, including extensive expertise in Snowflake and modern data platforms
- Expertise in Snowflake architecture and engineering
- Advanced proficiency in SQL
- Strong experience with Python for data processing and automation
- Deep understanding of ETL pipeline development
- Hands-on experience with Snowflake Streams for real-time data ingestion
- Proficiency in Time Travel and Fail Safe features within Snowflake
- Implementation and management of Snowpipe for automated data loading
- Skilled in SnowSQL for scripting and data management
- Experience in Snowflake-specific data modeling and warehouse design
- Expertise in developing and managing Snowflake stored procedures
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline (desired qualification)
- Snowflake SnowPro Advanced Architect certification or equivalent (desired qualification)
- Certification in data warehousing or cloud data platform architecture (desired qualification)
- Immediate joiner required
