Senior Snowflake Data Warehouse Engineer
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Description
Snowflake expertise and cloud data architecture define this Senior Cloud Data Warehouse Engineer role focused on a next-generation data platform.
The position supports a Data Warehouse team centralizing data for Technology Risk reporting and analytics. You will design Snowflake solutions, build Python-based tooling, and integrate internal platforms. The work includes performance optimization, hybrid data management, and pipeline development.
Key Responsibilities:
Design, develop, and manage Snowflake data warehouse solutions Establish Snowflake practices with Airflow, DBT, and Spark Deploy data pipeline frameworks using CI/CD and testing tools Monitor and tune query and data load performance Integrate Snowflake with internal quality and cataloging platforms Requirements:
Bachelor’s degree in a related technical field Minimum 10 years developing data solutions in complex environments At least seven years developing SQL/PLSQL queries Minimum five years developing Snowflake data solutions Mandatory Snowflake SnowPro Core certification Apply Snowflake engineering, Python tooling, and cloud architecture expertise to Technology Risk data platforms and analytics.
Design, develop, and manage Snowflake data warehouse solutions Establish Snowflake practices with Airflow, DBT, and Spark Deploy data pipeline frameworks using CI/CD and testing tools Monitor and tune query and data load performance Integrate Snowflake with internal quality and cataloging platforms Requirements:
Bachelor’s degree in a related technical field Minimum 10 years developing data solutions in complex environments At least seven years developing SQL/PLSQL queries Minimum five years developing Snowflake data solutions Mandatory Snowflake SnowPro Core certification Apply Snowflake engineering, Python tooling, and cloud architecture expertise to Technology Risk data platforms and analytics.