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.
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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