Solutions Engineer - Global Accounts
Supports the full technical sales cycle for a strategic global financial services account by delivering demonstrations, proof-of-concept engagements, and solution guidance. Requires 5+ years in solution engineering, data engineering, or technical consulting, plus SQL, Python, cloud data platform, and financial services expertise.
About the job
Responsibilities
- Support end-to-end technical sales engagements for a single strategic global financial services account, from discovery and qualification through proof-of-concept delivery and technical close.
- Build and deliver tailored demonstrations and solution presentations connecting Snowflake's platform capabilities to customer data challenges and business objectives.
- Design and execute proof-of-concept engagements covering risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloads.
- Develop working knowledge of the customer's data architecture, cloud environment, and technology stack.
- Partner with the Account Executive on deal activity, technical RFP responses, commercial conversations, and technical blockers.
- Coordinate with Professional Services, Support, and Product teams to provide appropriate customer resources.
- Build relationships with data engineers, architects, and technical managers as a trusted technical point of contact.
Requirements
- 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial services organizations.
- Understanding of financial services data use cases, including risk management, regulatory reporting, fraud analytics, or customer data platforms.
- Hands-on experience with cloud data platforms and live demonstrations of complex data solutions.
- Proficiency in SQL and Python, including writing and debugging scripts and building proof-of-concept pipelines.
- Clear communication skills for translating technical concepts to engineering and business audiences.
- Ability to manage multiple workstreams within an active sales cycle while maintaining strong customer relationships.
- Curiosity about AI and data technology and willingness to develop expertise in Snowflake Cortex AI capabilities and apply them in financial services contexts.
Compensation and Benefits
- Salary and benefits information is provided on the Snowflake Careers Site for jobs located in the United States.
Skills
Snowflake, SQL, Python, Cloud Data Platforms, Data Engineering, Proof Of Concept, Risk Analytics, Regulatory Reporting, Fraud Analytics, AI/ML, Data Architecture, Snowflake Cortex Ai
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