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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and implementing scalable data architectures using Snowflake, along with strong proficiency in SQL and data integration strategies. Capable of providing technical leadership and ensuring data security and compliance across cloud environments.
Highest-signal resume keywords
Snowflake ArchitectureETL And ELT DevelopmentSQL Query OptimizationData Modeling For Cloud Data WarehousingPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SnowflakeSQLETLELTData ModelingPythonDataStreamSnowSQLPLSQLT-SQL
Soft Skills
Technical LeadershipCollaboration
Tools & Technologies
AWSAzureGCPSnowpipeStreamsTasksDynamic Tables
Certifications & Qualifications
SnowPro CoreSnowPro Advanced Architect
Industry Keywords
Data EngineeringData WarehousingCloud Data PlatformsData SecurityGovernanceAccess Control Compliance
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design scalable, secure, and high-performance data architectures and data models using Snowflake
- Develop and implement ETL and ELT pipelines and data integration strategies
- Optimize query performance, resource utilization, and Snowflake costs through advanced tuning techniques
- Ensure data security, governance, and access control compliance within Snowflake and across cloud environments
- Integrate Snowflake with AWS, Azure, or GCP platforms for cloud data operations
- Provide technical leadership to data engineering teams and establish best practices and standards
- Implement and manage Snowpipe, Streams, Tasks, and Dynamic Tables for real-time and batch data processing
- Collaborate with stakeholders to translate business requirements into scalable data solutions
Requirements
What you’ll need- 7–10 years of experience in data engineering, data warehousing, or cloud data platforms
- At least 4 years of hands-on Snowflake architecture and implementation experience
- Advanced expertise in Snowflake architecture and administration
- Strong proficiency in SQL, including advanced query optimization
- Hands-on experience with Snowpipe, Streams, Tasks, and Dynamic Tables
- Experience with data modeling for cloud data warehousing
- ETL and ELT development using modern data platforms
- Python programming for data engineering
- Experience with DataStream for real-time data processing
- Knowledge of Time Travel and Fail Safe features in Snowflake
- Experience with SnowSQL command-line interface
- PLSQL or T-SQL experience for stored procedures and database scripting
- Experience integrating Snowflake with AWS, Azure, or GCP
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline is listed under Desired Qualifications
- Snowflake certification such as SnowPro Core or Advanced Architect is preferred/desired
Benefits
Comp & perks- Great Place to Work® certification and employer-of-choice culture
- Opportunities to work with contemporary, groundbreaking technologies and exclusive digital projects
- Professional growth and development opportunities
