Senior Solution Engineer, Financial Services

Responsibilities

• Present Snowflake technology and vision to executive and technical audiences.
• Demonstrate and communicate Snowflake’s value throughout the sales cycle, from demos and proofs of concept through design and implementation.
• Support enterprise proof-of-concept engagements.
• Work with sales teams and channel partners to understand customer needs and develop winning sales-cycle strategies.
• Maintain knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
• Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
• Conduct customer discovery, connect business problems to Snowflake solutions, and align customer architectures with Snowflake data architecture.
• Travel approximately 30%.

Requirements

• 5–7+ years of industry experience, including at least 5 years in a pre-sales environment.
• Outstanding presentation skills for technical and executive audiences.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Curiosity about the AI landscape and ability to act as a technical thought partner for customers.
• Experience using AI code-generation tools to improve productivity.
• Broad experience with large-scale database and data warehouse technologies, ETL, analytics, and cloud technologies.
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to perform deep discovery of customer architecture frameworks.
• University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

Nice to have

• Master’s degree in data science or business administration.
• Experience working with global systems integrators such as EY, Deloitte, or Accenture.