Data Engineering Solutions Specialist

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. Snowflake is seeking an accomplished Principal level Data Engineering Solutions Specialist (Openflow and Iceberg/Polaris) to drive sales execution for our ingestion workloads. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Data Engineering and Data Lake capabilities. Responsibilities: - Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list - Execute tailored sales plays to capture market opportunities in Data Engineering, helping customers optimize their use of Snowflake's platform. - Work directly with customers to understand their Data Engineering needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements. - Become an expert in Snowflake’s Data Engineering and Data Lakehouse capabilities and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s Data Engineering capabilities. - Work with our Account Executives, Sales Engineers, Leadership and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment - Track, analyze, and report on Data Engineering sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement - Partner with the broader cross-functional organization to integrate Data Engineering sales efforts with Snowflake’s overall go-to-market plans. - Driving the forecast of the region and exceeding revenue targets on consumption Minimum Qualifications: - 10+ years of professional experience and at least 6 of years sales experience with consistently exceeding sales objectives selling technical solutions and software products into the enterprise market - A strong track record of meeting or exceeding revenue targets in highly competitive markets - A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities - Proven ability to independently manage, develop, and close new client relationships - Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels. - In-depth knowledge of Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains - Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product Preferred Qualifications: - Experience operating in overlay sales role and/or driving product consumption through workloads and use cases - Technical background with an understanding of the data space and market - Bachelor’s Degree Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. I