Snowflake Data Architect (Remote - US)

Jobgether; United States; Remote; USD 72,000 - 149,000; Full time

Job summary

Jobgether is seeking a freelance Snowflake Data Architect to optimize and re-architect reporting layers within a Snowflake data warehouse. This fully remote contract role requires a minimum of 4 years of experience, focusing on data integrity and efficient data access. Join a high-impact team dedicated to data democratization while enjoying the flexibility of remote work.

Benefits

100% remote work with flexible scheduling

High autonomy in leading optimization strategy

Opportunity to work with a high-impact team

Qualifications

• 4-5+ years of experience in data architecture, particularly with Snowflake.
• Strong understanding of Snowflake architecture, including virtual warehouses.
• Advanced proficiency in SQL.

Responsibilities

• Optimize Snowflake data warehouse reporting layers.
• Enhance query performance and reduce data processing time.
• Collaborate on ETL/data transformation processes.

Skills

SQL

Snowflake optimization techniques

Data modeling

ETL processes

Cross-functional collaboration

Job description

Get AI-powered advice on this job and more exclusive features.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Snowflake Data Architect in the United States.

We're seeking a highly experienced freelance Snowflake Data Architect to lead the optimization and re-architecture of an advanced reporting layer within a Snowflake data warehouse. This is a fully remote, contract role (40 hours/week) lasting at least 6 months. You'll play a critical part in enhancing compute efficiency, reducing costs, and supporting analytic engineering initiatives that drive business intelligence and reporting. You'll collaborate with engineering, analytics, and business teams to implement performance improvements without compromising data integrity.

Accountabilities:

• Optimize Snowflake data warehouse reporting layers to improve cost and compute efficiency
• Enhance query performance and reduce data processing time through strategic configuration
• Design and implement efficient data models and schemas to support analytics and reporting
• Collaborate with data engineers on efficient ETL/data transformation processes
• Implement Snowflake best practices for data storage, loading, retrieval, and caching
• Develop materialized views and caching strategies to support high-performance reporting
• Support compute tuning through execution plan analysis and configuration management
• Partner with business stakeholders to ensure optimized data access aligns with reporting needs
  
  
  

Requirements

• 4-5+ years of experience in data architecture or analytic engineering, particularly with Snowflake
• Advanced proficiency in SQL and Snowflake-specific optimization techniques
• Strong understanding of Snowflake architecture, including virtual warehouses, storage, and clustering
• Experience in optimizing query execution, compute utilization, and data processing efficiency
• Familiarity with data modeling and performance tuning in large-scale analytics environments
• Proven track record of working with ETL pipelines and transforming data into accessible formats
• Strong communication skills for cross-functional collaboration and problem-solving
• Must be based in the United States and available for 40 hours/week of contract work
  
  
  

Benefits

• 100% remote work with flexible scheduling
• Hourly pay range: $85-$100 USD
• Opportunity to work with a high-impact team focused on data democratization
• Exposure to advanced Snowflake use cases and performance architecture
• Collaborative and mission-driven work environment
• High autonomy with the ability to lead optimization strategy
• Contract role with potential for future engagement
  
  
  

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.

If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Non-profit Organizations and Primary and Secondary Education

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