Staff software Engineer - Snowflake/AI Automation Engineer in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer – Snowflake / AI Automation Engineer in India.

This role sits at the intersection of data engineering, finance systems, and AI-driven automation, focused on transforming enterprise revenue operations through scalable, intelligent data platforms. You will design and optimize Snowflake-based architectures that power Revenue AI initiatives, enabling automation across forecasting, revenue recognition, and financial reporting workflows. The position requires deep technical expertise combined with strong business understanding, particularly in ERP and quote-to-revenue processes. You will collaborate closely with finance, accounting, IT, and data science teams to build governed, audit-ready datasets that support compliance and advanced analytics. Operating in a highly cross-functional environment, you will play a key role in integrating enterprise systems and enabling AI/ML-driven decision-making. This is a high-impact engineering role suited for professionals who enjoy solving complex data challenges at scale. Your work will directly influence the efficiency, accuracy, and intelligence of global revenue systems.

• Design, build, and optimize Snowflake data models and pipelines to support Revenue AI, analytics, and automation initiatives across enterprise systems.
• Develop scalable data solutions to automate revenue recognition, forecasting, reporting, and financial workflows.
• Integrate Snowflake with ERP platforms such as Salesforce, Oracle, SAP, or NetSuite to enable end-to-end quote-to-revenue (Q2R) processes.
• Build and maintain high-quality, governed datasets to support AI/ML analytics, predictive modeling, and advanced automation use cases.
• Collaborate with finance, revenue accounting, IT, and data science teams to translate business requirements into robust technical solutions.
• Ensure data accuracy, reconciliation, and compliance with SOX, audit standards, and enterprise governance requirements.
• Optimize Snowflake performance, cost efficiency, security, and access control configurations.
• Support system enhancements, production issues, upgrades, and ongoing operational reliability for revenue data platforms.
• Contribute to documentation, controls, and operational runbooks for enterprise-grade data and automation systems.

• Strong hands-on experience with Snowflake, including data modeling, performance tuning, security, access controls, and data sharing.
• Experience with Snowflake advanced features such as Cortex Analyst, Snowflake Intelligence, and search capabilities.
• Solid ERP systems experience, preferably with Oracle EBS, Oracle Cloud ERP, SAP, or NetSuite.
• Experience in revenue, finance, or accounting domains, with exposure to revenue recognition platforms (e.g., RevPro) preferred.
• Strong proficiency in SQL and at least one programming language, preferably Python.
• Experience building automated data pipelines using modern ETL/ELT tools.
• Strong understanding of data governance, compliance, audit readiness, and enterprise controls.
• Experience working cross-functionally with both technical and non-technical stakeholders.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of modern data engineering tools such as dbt, Airflow, and CI/CD pipelines is a plus.
• Exposure to AI/ML analytics, predictive modeling, or data-driven automation initiatives is highly desirable.

• Opportunity to work on cutting-edge AI-driven revenue automation and enterprise data platforms.
• Exposure to global-scale finance, ERP, and revenue systems transformation initiatives.
• Collaborative, cross-functional environment involving engineering, finance, and data science teams.
• Strong focus on innovation, automation, and advanced analytics using modern data technologies.
• Career growth opportunities in data engineering, AI automation, and enterprise architecture.
• Work on complex, high-impact systems with strong technical ownership and autonomy.
• Inclusive and values-driven culture focused on growth, learning, and innovation.