Staff software Engineer - Snowflake/AI Automation Engineer
TrimbleChennai, Tamil Nadu, India • Pune, Maharashtra, India
Posted February 25, 2026
Full Time
About the Company
Trimble Inc. is a global technology leader that integrates precise positioning, modeling, and data analytics to bridge the physical and digital realms. The company delivers solutions across construction, geospatial, transportation, natural resources, utilities, agriculture, and other critical industries, enabling customers to design, build, and maintain infrastructure with unprecedented accuracy and efficiency. Its portfolio spans optical and laser construction tools, GIS and mapping software, and advanced positioning systems that drive productivity and innovation. By continuously pushing the boundaries of technology, Trimble empowers clients to optimize supply chains, improve safety, and accelerate progress in complex projects worldwide.
Job Description
We are seeking a highly skilled Senior Snowflake / AI Automation Engineer to support Revenue AI–driven automation initiatives across enterprise financial and revenue systems.
Requirements
- 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
