Contract Data Architect, Snowflake
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Job Description
Contract Data Architect specializing in Snowflake for The Motley Fool, a financial services company. Focused on optimizing reporting layer and enhancing data efficiency in a remote setting.
Responsibilities:
- Evaluate and optimize the reporting layer of our Snowflake data warehouse to enhance cost efficiency and compute utilization.
- Develop and implement strategies to improve query performance, reduce data processing time, and enhance overall efficiency.
- Collaborate closely with the data engineering team to implement optimizations without compromising data integrity or security.
- Utilize advanced analytic engineering techniques within Snowflake to optimize data transformations and computations.
- Design efficient data models and schemas to support optimized reporting and analytics.
- Implement best practices for data loading, storage, and retrieval to minimize costs and maximize performance.
- Optimize query performance by tuning Snowflake configurations and query execution plans.
- Implement caching strategies and materialized views to improve response times for commonly used reports.
- Collaborate with data engineers to ensure efficient ETL processes and data transformations.
Requirements:
- Proven experience working with Snowflake data warehouse, including optimization projects.
- Strong expertise in analytic engineering techniques within Snowflake, such as query optimization, indexing, and partitioning.
- Deep understanding of Snowflake's architecture, including virtual warehouses, storage optimization, and clustering keys.
- Proficiency in SQL and data modeling for Snowflake.
- Familiarity with ETL processes and data pipeline optimization.
- Excellent problem-solving skills and the ability to troubleshoot complex performance issues.
- Strong communication skills to collaborate with cross-functional teams and stakeholders.
- Self-motivated with a proactive approach to identifying and implementing optimizations.
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