Snowflake Engineer

Summary

Join Resultant as a Support Engineer and provide top-tier assistance to enterprise customers using the Snowflake Data Cloud platform. Monitor and maintain cloud-based systems, diagnose and troubleshoot issues, and collaborate with internal teams. You will maintain ownership of technical issues, create knowledge base articles, and participate in after-hours support. Continuous improvement of support tools and processes is also expected. Resultant offers a competitive compensation and benefits package, including self-managed PTO, 401k matching, parental leave, and professional development opportunities.

Requirements

• 2+ years of experience in a technical support, SRE, or DevOps role
• Strong proficiency and 2+ years of experience supporting Snowflake Data Cloud platforms is required
• Proficiency and experience in other cloud technologies (e.g. SQL, Redshift, BigQuery, etc.)
• Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
• Strong understanding of data warehousing concepts
• Ability to read and interpret logs, error messages, and performance metrics
• Excellent written and verbal communication skills
• Strong customer-first mindset with a sense of urgency and ownership
• Strong debugging, problem solving and logic skills
• Scripting experience in Python, Bash, and PowerShell
• Exposure to ETL tools, data pipelines, and BI platforms
• Knowledge of incident management and ticketing tools (e.g. ConnectWise, Jira, Zendesk, ServiceNow)
• Must be legally authorized to work in the United States for any employer without sponsorship

Responsibilities

• Monitor and maintain modular cloud-based systems
• Diagnose and troubleshoot product and configuration issues in customer environments
• Collaborate with internal teams (Managed Services, Professional Services, Sales, etc) to address bugs, propose improvements, and provide feedback from the field
• Maintain ownership of technical issues through resolution, including timely updates and clear documentation
• Create and maintain knowledge base articles, internal runbooks, and customer-facing documentation
• Participate in after-hours support as needed
• Contribute to the continuous improvement of support tools, processes, and best practices

Preferred Qualifications

• Experience with other Data Warehouse solutions (e.g. Databricks, etc.)
• Familiarity with AI/ML
• Experience analyzing data and creating useful outcomes
• Experience with data security best practices

Benefits

• Self-managed PTO
• 401k contribution matching
• Parental leave
• Professional development opportunities