Senior Solution Engineer - Global Accounts

AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

• Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion
• Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers
• Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments
• Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions
• Partner closely 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 every active opportunity
• Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption
• Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice

OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:

• 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 (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence
• Strong 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 FSI environments (dbt, Spark, Kafka, or equivalent)
• Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions
• Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts
• Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context

BONUS POINTS FOR THE FOLLOWING:

• Direct experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers
• Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps
• Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, 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 FSI compliance requirements