Full Description

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.

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