Snowflake/AI Automation Engineer

TRIMBLE is actively hiring for the role of Snowflake/AI Automation Engineer !

Responsibilities of the Candidate:

• Design, build, and optimize Snowflake-based data models and pipelines to support Revenue AI and automation use cases
• Develop scalable solutions to automate revenue recognition, forecasting, analytics, and reporting
• Integrate Snowflake with ERP systems like Salesforce and Oracle to enable end-to-end Quote-to-Revenue (Q2R) workflows
• Support AI/ML-enabled analytics by preparing high-quality, governed datasets for advanced modeling and automation
• Collaborate with Finance, Revenue Accounting, IT, and Data Science teams to translate business requirements into technical solutions
• Ensure data accuracy, reconciliation, and compliance with SOX and audit requirements
• Optimize Snowflake performance, cost management, and security best practices
• Participate in system upgrades, enhancements, and production support related to revenue systems and automation
• Contribute to documentation, controls, and operational runbooks for enterprise data platforms

Requirements:

• Strong hands-on experience with Snowflake, including:
  
  • Data modeling
  • Cortex Analyst, Search
  • Snowflake Intelligence
  • Performance optimization
  • Security and access controls
  • Data sharing and automation
  • Security and access controls
  • Strong ERP experience, preferably with:
  • Oracle EBS / Oracle Cloud
  • ERP
  • SAP
  • NetSuite
• Experience supporting Revenue, Finance, or Accounting domains, especially RevPro or other revenue accounting platforms is preferred.
• Proficiency in SQL and at least one programming language (Python preferred)
• Experience building automated data pipelines using modern ELT/ETL tools
• Strong understanding of data governance, controls, and audit readiness
• Ability to work cross-functionally with technical and non-technical stakeholders
• Experience with AI/ML analytics, predictive modeling
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of modern data tools (dbt, Airflow, CI/CD for data platforms)