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.
Salary not listed
Hybrid5+ YOESales Engineering
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
SnowflakeSQLPythonCloud Data PlatformsData EngineeringProof Of ConceptRisk AnalyticsRegulatory ReportingFraud AnalyticsAI/MLData ArchitectureSnowflake Cortex Ai