Snowflake SENIOR VALUE ENGINEER - FINOPS & SPEND ANALYTICS 

United States, California 

110812900

The ideal candidate brings:

• Analytical Skills : Proficiency in Excel, SQL, and Python to deliver actionable insights.
• Technical Architecture Understanding : Familiarity with cloud-based systems, ideally Snowflake, to understand and communicate technical aspects in addition to financial optimizations.
• Consulting or Sales Experience : Background in financial planning and analysis (FP&A), business/IT consulting, or consultative sales to engage and drive customer value.

• Consultative Engagements : Partner with account teams and customers to frame and address complex business challenges through data-driven insights, focusing on cost optimization, performance enhancement, and ROI maximization.
• Advanced Data Analysis: Analyze customer consumption data on Snowflake to provide actionable insights that attribute, control, and optimize spend across various business units, workloads, and use cases.
• Cloud Economics & FinOps : Develop and refine cloud unit economics models, define KPIs, and support cost, usage, and performance benchmarks tailored to specific customer needs.
• Strategic ROI Modeling: Build and maintain sophisticated ROI and economic models to support customer budgeting, forecasting, and the rollout of new Snowflake features.
• Data Storytelling: Translate complex data insights into compelling narratives that influence strategic decisions, catering to both technical and non-technical stakeholders.

• Education : A Bachelor’s degree in a relevant field, such as Computer Science, Finance, Economics, or a related discipline. Advanced degrees or certifications in analytics or business management (e.g., MBA) are advantageous.
• Work Experience: 6-10 years of relevant working experience, including 4+ years focused in data analytics, financial planning and analysis (FP&A), business consulting, or cloud data warehousing.
• Business Consulting/FP&A Expertise : A strong background in business consulting or FP&A, with a proven ability to solve complex business problems using data and analytics.
• Technical Proficiency: Advanced skills in SQL and Excel for data analysis and reporting – familiarity with Python and Snowflake or other cloud-based data platforms will be an advantage.
• Cloud Technology Acumen : A solid understanding of cloud technology architectures, particularly in data warehousing, and experience in cloud economics or FinOps will be a plus.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $162,000 - $231,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.