Senior Solution Engineer, Financial Services

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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 Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake ’s products and marketing ON DAY ONE WE WILL EXPECT YOU TO HAVE: 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric Hands-on expertise with SQL,SQL analytics, and Python. Ability to connect a customer’s specific business problems and Snowflake ’s solutions Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus. Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required Expect approximately 30% travel ABOUT OUR TEAM Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. 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 esse

在Snowflake，我们正在推动代理型企业时代的到来。为了迎接这个新时代，我们在各个职能领域寻找AI原生的思考者，他们为有机会重塑自己的工作方式而充满活力。你不仅仅是使用工具；你拥有与生俱来的好奇心，将AI视为高信任度的协作者，它是你解决问题和加速影响力的核心。我们寻找低调谦逊、在动态且快速变化的环境中茁壮成长、以实验性思维行事的人——他们快速测试新兴能力，以发现更简单、更强大的交付成果的方式。在Snowflake，你的角色不仅仅是执行某项职能，而是帮助重新定义工作方式的未来。我们正在寻找一位资深解决方案工程师，他习惯于解决客户最复杂的问题并促成大型交易。在这个角色中，你将直接与销售团队和渠道合作伙伴合作，了解我们客户的需求，制定如何驾驭制胜销售周期的策略，提供有说服力的基于价值的演示，支持企业级概念验证，并最终促成业务成交。作为Snowflake解决方案工程师，你必须与我们一样对重塑数据库领域充满热情，在动态环境中茁壮成长，并具有灵活性和意愿主动投入并完成工作。你在业务和技术语境中同样游刃有余，既能与高管互动，也能与技术受众深入交流。在这个角色中，你将有机会：向潜在客户和客户的高管及技术贡献者展示Snowflake技术和愿景在整个销售周期中，与潜在客户和客户亲自动手演示和传达Snowflake技术的价值，从演示到概念验证再到设计和实施沉浸于不断发展的行业中，保持对竞争性和互补性技术及供应商的深入理解，以及如何在与它们的关系中定位Snowflake。与产品管理、工程和市场营销团队合作，持续改进Snowflake的产品和市场营销在我们见面第一天，我们期望你具备：5-7年以上行业经验，其中至少5年在售前环境中出色的演讲能力，能够面向技术和高管受众，无论是即兴在白板上还是在演示和Demo中。5年以上在云中构建和部署机器学习和生成式AI解决方案的经验。对AI领域具有主动的好奇心，努力成为客户在该领域中导航时的远见者和技术思想伙伴。已证明能够利用AI代码生成工具来加速生产力和效率。在大规模数据库和/或数据仓库技术、ETL、分析和云技术方面拥有广泛经验。例如，Data Lake、Data Mesh、Data Fabric具备SQL、SQL分析和Python的实操专长。能够将客户的具体业务问题与Snowflake的解决方案联系起来能够深入发现客户的架构框架，并将其与Snowflake数据架构联系起来。计算机科学、工程、数学或相关领域的大学学位，或同等经验者优先。数据科学或工商管理硕士学位为加分项。有GSI（EY、Deloitte、Accenture等）经验将是有益的，但不是必需的预计约30%的出差关于我们的团队我们的解决方案工程师以客户为中心，我们相信我们能够增加的价值，并对此保持诚实。我们热爱学习，乐于给予和接受反馈，并热衷于让我们的客户成功。我们的团队致力于确保数据对每个人都是可访问、可用和有价值的。每位Snowflake员工都应遵守公司处理敏感数据的保密和安全标准。Snowflake员工必须遵守公司的数据安全计划，作为基本要求

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