Snowflake Data Architect (Remote - US)

This position is posted by Jobgether on behalf of The Motley Fool. We are currently looking for a Snowflake Data Architect in the United States.

Join a high-impact data team driving accessibility, scalability, and insight across the enterprise. As a Snowflake Data Architect, you’ll own the platform’s design and performance, shaping a modern data environment that empowers teams to make smarter decisions. Working closely with engineering, governance, and strategy teams, you’ll define architectural standards, optimize resource usage, and lead mission-critical data initiatives. If you're passionate about data architecture and thrive in collaborative, forward-thinking environments, this role is a perfect match.

Accountabilities:

• Lead the strategic architecture of Snowflake environments across U.S. and international instances, applying medallion-layer principles and best practices in data modeling.
• Define and maintain standards for object naming, compute utilization, and scalable data structures.
• Collaborate with data engineering teams to improve schema design, performance, and platform consistency.
• Optimize platform costs by improving query efficiency and storage performance.
• Serve as the Snowflake subject matter expert in key enterprise projects, including migrations and analytics initiatives.
• Work with a dedicated Platform Engineer to manage version control, metadata documentation, and object lifecycle practices.
• Mentor teams on Snowflake performance tuning and usage best practices.
• Engage in governance and architecture reviews to ensure a secure and reliable platform.

• 7+ years of experience in data engineering or architecture roles, including at least 3 years hands-on with Snowflake.
• Strong command of Snowflake architecture, SQL optimization, and scalable data modeling.
• Proficiency in SQL and familiarity with Python for scripting and automation tasks.
• Experience with Snowflake cost monitoring, query performance tuning, and compute resource optimization.
• Working knowledge of GitOps, CI/CD workflows, and data platform lifecycle practices.
• Familiarity with ETL tools and orchestration platforms like Airflow.
• Clear communicator with the ability to collaborate across technical and non-technical stakeholders.
• Self-driven and proactive, with a passion for continuous platform improvement.

• Annual compensation between $150,000 and $190,000 USD, based on experience and location.
• Opportunity to shape the architecture of a critical enterprise data platform.
• Flexible remote-first work environment within the United States.
• Comprehensive healthcare coverage (medical, dental, vision).
• Generous paid time off and company holidays.
• 401(k) plan with company contributions.
• Annual professional development stipend.
• Collaborative, mission-driven culture focused on long-term impact.

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.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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