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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Engineer, HCLS - **Company:** Snowflake Inc. - **Location:** Indianapolis, IN, United States - **Experience:** Expert - **Salary:** $165,000.0 - $288,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Data Architecture, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, SQL Databases, Snowflake, Generative AI, Microsoft Fabric, Data Lakes, Information Technology - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d94bbd58b7dd1165 ## About the Role * 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. * 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 ## Description 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. FIELD RELATED CONTEXT 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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