Senior Solution Engineer, HCLS

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 seeking a Senior Solution Engineer to drive complex customer solutions and close large deals. Working directly with sales teams and channel partners, you will be the technical expert who understands customer needs, provides compelling demonstrations, and supports enterprise Proof of Concepts. This role requires someone who can bridge business and technical contexts, engaging effectively with both executives and technical teams while sharing our passion for reinventing the database space. IN THIS ROLE AT SNOWFLAKE, YOU WILL: - Present Snowflake technology and vision to executives and technical contributors - Work hands-on with prospects to demonstrate value throughout the sales cycle - Maintain deep understanding of competitive and complementary technologies - Collaborate with Product Management, Engineering, and Marketing for continuous improvement - Support enterprise Proof of Concepts and design implementations - Drive technical solutions for complex customer challenges WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: - 7-8 years of industry experience with 5+ years in pre-sales - Outstanding presentation skills for both technical and executive audiences - Broad experience with Database, Data Warehouse, and cloud technologies - Hands-on expertise with SQL, SQL analytics, and Python - Strong ability to connect business problems with technical solutions - Advanced degree in computer science, engineering, or related field WHY JOIN OUR TEAM AT SNOWFLAKE? Join a team of customer-obsessed Solution Engineers who are passionate about making clients successful. We foster a culture of continuous learning and open feedback, where team members can grow and develop their expertise. Our work directly impacts how organizations access, use, and derive value from their data, making this role both challenging and deeply rewarding. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

• Show Snowflake‑specific HCLS expertise: In your resume and interview, cite concrete projects where you built data pipelines on Snowflake for healthcare or life‑science data (e.g., ingesting HL7/FHIR streams, using Snowpipe, Secure Data Sharing, Time Travel, and zero‑copy cloning to meet HIPAA compliance). Mention the exact tools (SnowSQL, Snowpark Python, Snowflake Marketplace data sets) and quantify impact (e.g., 30% faster cohort extraction, 2‑day reduction in data latency).
• Create a targeted portfolio piece: Assemble a 2‑page case study (PDF or interactive notebook) that walks through a full solution architecture—data ingestion, transformation, governance, and analytics—using Snowflake’s native features. Include architecture diagrams, sample SQL code, performance benchmarks, and a brief video walkthrough (3‑5 min) highlighting how you solved a real HCLS problem.
• Demonstrate an AI‑native mindset: Build a quick proof‑of‑concept that leverages Snowpark with an LLM (e.g., OpenAI or Cohere) to generate clinical trial eligibility criteria or summarize patient notes. Document the prompt‑engineering approach, model integration, and measurable outcome (e.g., 20% reduction in manual chart review time) and be ready to discuss the experiment’s iteration cycle.
• Prepare for Snowflake’s behavioral focus: Use the STAR method to craft stories that illustrate low‑ego collaboration, rapid experimentation, and “test‑and‑learn” cycles—especially when you partnered with sales, product, or compliance teams to close a large deal or unblock a technical roadblock. Interviewers will probe for how you balance customer advocacy with product limits.
• Negotiate with data‑driven benchmarks: Reference market data for Senior Solution Engineers in the US‑IN remote market (base $180‑210 k, RSU grant 50‑80 k, sign‑on $15‑25 k). Ask specifically about Snowflake’s equity refresh cadence, performance‑based accelerators, and remote‑work stipend. Position your negotiation around the high‑impact HCLS projects you’ll deliver and the revenue you’ll help unlock.