Job Summary:
We are seeking a highly skilled
Senior Snowflake / AI Automation Engineer
to support
Revenue AI–driven automation initiatives
across enterprise financial and revenue systems. This role will focus on designing, developing, and optimizing data pipelines, analytics, and automation solutions on
Snowflake
, with deep integration into ERP and revenue accounting platforms. The ideal candidate brings a strong combination of
Snowflake expertise including Cortex Analyst, Snowflake Intelligence etc.., ERP systems knowledge, and automation/AI enablement experience
to support scalable, compliant, and audit-ready revenue processes.
Key Responsibilities
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
Required Qualifications
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)
How to Apply:
Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.
Join a Values-Driven Team: Belong, Grow, Innovate.
At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.
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If you need assistance or would like to request an accommodation in connection with the application process, please contact
careers@trimble.com
.
