Snowflake Platform Ops Engineer - Automate & Optimize

Stradit LLC; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Stradit LLC in Dallas is seeking a Snowflake Platform Operations Engineer to manage Snowflake environments, optimize performance, and automate routine tasks. You will work with analytics teams to implement data workflows, develop CI/CD pipelines, and leverage AWS/Azure/GCP cloud services.

Strong SQL, scripting experience, and familiarity with Linux and scheduling tools are required. The role emphasizes collaboration, problem-solving, and effective communication to ensure reliable data platforms

Qualifications

• 3+ years of experience in Snowflake platform operations or support.
• SnowPro Core certification preferred; additional Snowflake certifications a plus.
• Proficiency in SQL and basic scripting (Python or Bash) for operational automation.
• Familiarity with CI/CD tools (GitLab, Bitbucket, Jenkins) and infrastructure automation (Terraform, Ansible).
• Experience with Linux system administration and batch scheduling tools (e.g., Autosys).
• Basic AWS IaaS administration; Azure or GCP experience acceptable.
• Understanding of ITSM processes and tools (ServiceNow).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Experience supporting Snowflake integrations with business analytics tools (Power BI, Looker, Quicksight).
• Exposure to Snowpark container services and Snowpipe stream analytics.
• Familiarity with Snowflake Cortex AI services.
• Experience with CMDB tools such as CloudAware.

Skills

Snowflake operations

SQL

Python

Linux administration

AWS

Azure/GCP

ITSM processes

Problem solving

Communication

Collaboration

Education

SnowPro Core certification

Tools

GitLab

Bitbucket

Jenkins

Terraform

Ansible

Autosys

Snowpark

Snowpipe

Snowflake Cortex

CloudAware

Power BI

Looker

Quicksight

Job description

Stradit LLC in Dallas is seeking a Snowflake Platform Operations Engineer to manage Snowflake environments, optimize performance, and automate routine tasks. You will work with analytics teams to implement data workflows, develop CI/CD pipelines, and leverage AWS/Azure/GCP cloud services.

Strong SQL, scripting experience, and familiarity with Linux and scheduling tools are required. The role emphasizes collaboration, problem-solving, and effective communication to ensure reliable data platforms