Senior Solution Engineer

Senior Solution Engineer 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. As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Telecommunications (Telco) sectors. You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy. This is a field-facing, customer-first role that combines deep technical skills, strong industry context (FSI/Telco), and the ability to design and communicate high‑impact architectures. KEY RESPONSIBILITIES: Drive Adoption in Existing Accounts - Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore. - Identify and map customer business objectives to workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud. Solution Design, Demos & POCs - Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases. - Lead and execute POCs/Pilots that prove value and de‑risk platform decisions, including success criteria definition and joint execution plans. - Translate complex technical capabilities into clear business value and ROI for senior non-technical audiences. Cross-Functional & Partner Collaboration - Collaborate closely with Sales, Customer Success, Professional Services, Product, and Partners to ensure successful customer outcomes. - Work with SI, ISV, and cloud partners to incorporate their solutions into customer architectures where relevant. - Capture and relay field feedback to Product and Engineering to influence roadmap priorities, especially for FSI/Telco needs. Thought Leadership & Evangelism - Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups. - Create and share technical content (presentations, reference architectures, playbooks, demos) that supports expansion in FSI and Telco. MINIMUM REQUIREMENTS: - Extensive 10 years working experience in customer facing solution engineering role - Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science , Gen AIand Data Apps - Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos. - Hands-on expertise with SQL & Spark STRONGLY DESIRED: - Experience with large-scale cloud data and ai platforms - Programming/scripting experience (e.g., Python, Java, Spark) - Experience selling or supporting enterprise data/analytics platforms - Strong stakeholder management and value-based selling skills - Degree in Computer Science, Engineering, Mathematics, or related field skills ADDED BONUS FOR: - Hands-on experience with Lakehouse architectures - Exposure to Data Science / AI / ML / Generative AI workloads - Familiarity with BI tools (e.g., Tableau, Power BI) - Cloud platform experience: AWS, Azure, or GCP - Relevant services (e.g., S3, Glue, SageMaker, Azure Data Factory, etc.) - Experience with OLAP data modeling and ente ... (truncated, view full listing at source)