About the role
- We are hiring a Senior Solution Engineer dedicated to one of Snowflake’s most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management
- You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake’s leadership
- 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
Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program- 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
- Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake’s Cortex AI capabilities in an FSI context
- Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions
- Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live
- Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts
- 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
- Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)
- 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
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