Snowflake은 회계 조직을 위한 데이터 인프라를 구축하고 관리할 Staff Analytics Engineer를 채용합니다. 8년 이상의 경력과 고급 SQL, Python 활용 능력이 필수입니다. Snowflake 및 dbt, Airflow 환경에서 대규모 데이터 모델링을 수행하며, 주 3회 이상 멘로파크 사무실로 출근하는 하이브리드 근무 형태입니다. 회계 데이터 분석 및 자동화 시스템을 고도화하고 데이터 거버넌스 전략을 수립하는 핵심 역할을 맡게 됩니다.
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.
We are looking for a Staff Analytics Engineer to join our growing 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 Accounting organization and has a direct impact on Snowflake’s success as a company. As a Staff 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 lineage systems, and data definitions
Meet regularly with Accounting BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA
Build and maintain user friendly documentation for data models and key metrics
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team
8+ years of experience working as an analytics, data, or BI engineer
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
Experience using Python to parse, structure, and transform data
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
Ability to think creatively to solve problems
An impulse for introducing structure and simplicity into vague, complex problems
An obsession for detail and quality
An ability to identify weaknesses in data and process, and a willingness to drive improvement
A bias for action
Experience with ERP and Financial Planning tools
Experience using Python to parse, structure, and transform data (bonus for Streamlit specifically)
Experience working with CI/CD pipelines
Experience leading or working within a scrum, sprint, or other agile framework
Past experience working in an accounting role, or directly supporting analysis and reporting for accounting stakeholders
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
