Analytics Engineer

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI\-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high\-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low\-ego individuals who thrive in dynamic and fast\-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. **This role requires in\-person attendance in our Menlo Park, CA office at least 3 days per week.** We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision\-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following: * Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation * Perform data QA and develop automated testing procedures for use with Snowflake data models * Translate reporting, analysis, and automation requirements into data model requirements and specifications * Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases * Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth * Provide input into data governance strategies and frameworks including permissions and security models, data