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About the Role

Snowflake is seeking AI-native thinkers to power the era of the agentic enterprise. This Senior Solution Engineer role is dedicated to a single, strategically important financial services customer, focusing on owning the full technical relationship, driving use case expansion, and serving as a trusted advisor to leadership within the account. This is a high-visibility role with global scope and direct exposure to Snowflake's leadership.

Responsibilities

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.

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 (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.

Skills

SQL
Python
dbt
Spark
Kafka
Cortex AI
data sharing
Snowpark
Native Apps
AI
LLM

Location

United States

Work Type

Full-time

Experience Level

Senior

About the Company

Snowflake is powering the era of the agentic enterprise.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.