Senior Solutions Engineer - FSI

Responsibilities

• Own the end-to-end technical relationship for a single strategic global financial services account, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion.
• Build and deliver demonstrations, solution architectures, and executive presentations connecting Snowflake’s platform capabilities to financial services data and AI priorities.
• Design and lead proof-of-concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads.
• Translate complex regulatory and technical requirements into practical, production-ready Snowflake solutions.
• Partner with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across opportunities.
• Coordinate with Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.
• Mentor and support junior Solution Engineers.

Requirements

• 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers.
• Deep understanding of financial services data use cases, including risk management, regulatory reporting, market data, fraud analytics, and AI/ML for credit and customer intelligence.
• Hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live.
• Proficiency in SQL, Python, and data engineering tools commonly used in financial services environments.
• Excellent executive communication skills with the ability to engage CDOs, CTOs, and CIOs at global financial institutions.
• Experience leading complex technical evaluations, winning competitive proof-of-concept engagements, and building technical relationships with strategic enterprise accounts.
• Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake Cortex AI capabilities in a financial services context.

Nice-to-haves

• Experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers.
• Hands-on experience with Snowflake Cortex AI, data sharing, Snowpark, and Native Apps.
• Familiarity with financial services cloud migration patterns and legacy platforms such as Teradata, Oracle, and Hadoop.
• Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environments.
• Background in data mesh, data product design, or enterprise data governance frameworks relevant to financial services compliance requirements.