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Role Description

The Motley Fool is looking for a highly skilled Freelance Data Architect specializing in Snowflake to join our team on an independent contract basis, 40 hours per week. This is a mid to senior level position and requires 5+ years of relevant experience. While this role is flexible and 100% remote, candidates must be located in the United States for consideration.

The Data Democratization, Governance & Strategy team at The Motley Fool is dedicated to making data accessible and actionable for all business end-users. We specialize in the final stretch of data delivery, transforming warehouse data into easily consumable formats. By working collaboratively with third-party vendors and stakeholders, we build data structures that support seamless reporting and valuable business insights.

Our close partnerships with business analysts and data engineering ensures that every team at The Motley Fool can leverage data to drive informed decisions and strategic growth.

What would you do in this role?

• 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.

Snowflake Optimization:

• 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.

Compute Efficiency:

• 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.

Qualifications

• 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.

Compensation

Below is our target compensation range. While we are budget conscious, we’re also eager to find the right person for this role, so if your target is outside of this range, please don’t hesitate to apply and we’d be happy to have a conversation.

• Hourly Pay Range: $95 — $110 USD