Staff Software Engineer – Snowflake, AI Automation Engineer

🕒 May 20

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Logo of Trimble Inc.

Trimble Inc.

10,000+ employees

💰 Post-IPO Debt on 2022-12

Construction • Transportation • Geospatial

Trimble Inc. is a technology company that provides advanced solutions across various sectors including construction, transportation, geospatial, and natural resources. They empower industries to improve efficiency and profitability by leveraging real-time data insights, innovative software, and precise hardware. Trimble's solutions are used by millions of professionals globally, helping them to collaborate effectively and manage complex workflows, ultimately transforming how work gets done in diverse environments.

📋 Description

• 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 • 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)

🏖️ Benefits

• Join a Values-Driven Team • Belong, Grow, Innovate • Professional development opportunities

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