3 months ago
London, United KingdomSenior
Responsibilities
- Own the end-to-end technical relationship for one strategic global financial-services account from discovery and qualification through proof of concept, technical close, and expansion.
- Build and deliver demonstrations, solution architectures, and executive presentations connecting Snowflake capabilities to financial-services data and AI priorities.
- Design and lead proof-of-concept engagements involving risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads.
- Act as a subject matter expert on financial-services data architecture and translate regulatory and technical requirements into production-ready Snowflake solutions.
- Partner with the Account Executive and leadership as the account’s sole technical owner and co-develop the joint success plan.
- Coordinate with Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.
- Mentor and support junior Solution Engineers and raise 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 financial-services exposure.
- Deep knowledge of financial-services data use cases such as risk management, regulatory reporting, market data, fraud analytics, and AI/ML for credit and customer intelligence.
- Hands-on expertise with cloud data platforms, ideally Snowflake, and the ability to architect and demonstrate enterprise-grade solutions.
- Proficiency in SQL, Python, and data engineering tools such as dbt, Spark, Kafka, or equivalent.
- Ability to communicate credibly with CDOs, CTOs, and CIOs at global financial institutions.
- Track record of leading complex technical evaluations, winning competitive proof-of-concept engagements, and developing strategic enterprise relationships.
- Experience using AI and LLM-based tools in technical workflows and articulating Snowflake Cortex AI capabilities in financial-services contexts.
- Experience with capital markets firms, tier-1 banks, insurers, or global asset managers is a bonus.
- Hands-on experience with Snowflake, Cortex AI, data sharing, Snowpark, and Native Apps is a bonus.
- Familiarity with financial-services cloud migration patterns and legacy platforms such as Teradata, Oracle, and Hadoop is a bonus.
- Experience with real-time data architectures, streaming ingestion, event-driven data platforms, data mesh, data product design, or enterprise data governance is a bonus.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.