Snowflake FinOps Engineer III

Job Description

for ensuring the efficient and cost-effective operation of our Snowflake environment, combining deep technical expertise in Snowflake administration with a strong focus on financial accountability and resource optimization This is an exciting opportunity to make a significant impact on our data infrastructure and contribute to a data-driven culture Responsibilities:Snowflake Cost Optimization (FinOps):Develop and implement a comprehensive Snowflake cost optimization strategy aligned with business objectives Continuously monitor and analyze Snowflake credit consumption and storage costs, identifying key cost drivers and trends Proactively identify and implement opportunities for cost reduction through techniques such as virtual warehouserightsizing, query optimization, data lifecycle management, and feature utilization Develop and maintain dashboards and reports to track Snowflake spending, identify anomalies, and communicatecost optimization progress to stakeholders Collaborate with engineering and analytics teams to educate them on cost-aware Snowflake practices and promote a culture of cost efficiency Implement and manage Snowflake cost controls and alertsto prevent unexpected spending Evaluate and recommend new Snowflake features and pricing modelsto optimize cost and performance Automate cost monitoring, reporting, and optimization tasks using scripting and other tools Work closely with finance and procurement teams on Snowflake budgeting and forecasting Establish, document, and enforce a comprehensive tagging standard for Snowflake objects (e g , virtual warehouses,tables, users) to improve cost tracking, resource allocation, and governance Qualifications:Bachelors degree in Computer Science, Information Technology, or a related field Proven experience 5+ yearsin administering and managing Snowflake data warehouse environments Strong understanding of Snowflake architecture, features, and best practices Demonstrated experience in implementing and driving cost optimization strategiesfor Snowflake Proficiency in SQL and experience with data analysis and visualization tools(e g , Tableau, Looker, Power BI) Experience with scripting languages (e g , Python) for automation tasks is highly desirable Familiarity with FinOps principles and practices in a cloud environment is a significant advantage Excellent analytical and problem-solving skills with a strong attention to detail Strong communication and collaboration skills, with the ability to explain technical concepts to both technical andnon-technical audiences Ability to work independently and manage multiple priorities in a fast-paced environment Snowflake certifications (e g , SnowPro Core) are a plus