Staff software Engineer - Snowflake/AI Automation Engineer
TLDR
Build Snowflake-based data pipelines powering AI-driven revenue automation across ERP-enabled Quote-to-Revenue, collaborating across Finance, IT, and Data Science.
- Design, build, and optimize Snowflake-based data models, pipelines, and architectures supporting revenue AI and automation use cases.
- Develop scalable automation solutions for revenue recognition, forecasting, analytics, and enterprise reporting.
- Integrate Snowflake with ERP systems such as Salesforce and Oracle Cloud ERP to enable end-to-end Quote-to-Revenue (Q2R) processes.
- Prepare governed, high-quality datasets to support AI/ML analytics and predictive modeling initiatives.
- Collaborate with Finance, Revenue Accounting, IT, and Data Science teams to translate business requirements into scalable technical solutions.
- Ensure data accuracy, reconciliation, governance, and compliance with SOX and audit requirements.
- Optimize performance, cost efficiency, security, and reliability of Snowflake-based solutions.
- Contribute to production support, system enhancements, documentation, and operational runbooks.
- Strong hands-on experience with Snowflake including data modeling, performance tuning, security, and data sharing.
- Experience with Snowflake advanced capabilities such as Cortex Analyst and Snowflake Intelligence for AI-enabled analytics.
- Solid ERP systems experience with platforms such as SAP, NetSuite, or Oracle ecosystems.
- Background in Revenue, Finance, or Accounting domains, ideally with exposure to RevPro or similar revenue accounting platforms.
- Strong proficiency in SQL and at least one programming language, preferably Python.
- Experience building ELT/ETL pipelines using modern data tools and frameworks.
- Familiarity with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
- Experience with modern data engineering tools such as dbt and Apache Airflow, including CI/CD for data platforms.
- Strong understanding of data governance, audit readiness, and enterprise controls.
- Ability to work effectively with both technical and non-technical stakeholders in cross-functional teams.
- Exposure to AI/ML analytics and predictive modeling is highly desirable.
- Competitive salary aligned with senior engineering market standards in India.
- Flexible work arrangements, including remote or hybrid options.
- Comprehensive health insurance coverage for employees and dependents.
- Opportunity to work on cutting-edge AI and data automation initiatives at enterprise scale.
- Access to modern cloud and data engineering technologies and continuous learning opportunities.
- Strong emphasis on career growth, innovation, and technical ownership.
- Inclusive, collaborative, and values-driven engineering culture.
Requirements:
Benefits:
Benefits
Health Insurance
Comprehensive health insurance coverage for employees and dependents.
Learning Budget
Access to modern cloud and data engineering technologies and continuous learning opportunities.
Remote-Friendly
Flexible work arrangements, including remote or hybrid options.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services