2 months ago
Paris, FranceSenior
Responsibilities
- Own the end-to-end technical relationship for one strategic global financial services account from discovery 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 proofs of concept for risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads.
- Translate complex financial services regulatory and technical requirements into practical, 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 Solutions Engineers and elevate 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 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 Snowflake, and the ability to architect and demonstrate enterprise-grade solutions.
- Proficiency in SQL, Python, and data engineering tools such as dbt, Spark, and Kafka or equivalent tools.
- Ability to communicate credibly with CDOs, CTOs, and CIOs at global financial institutions.
- Track record of leading complex technical evaluations, winning competitive proofs of concept, and building strategic enterprise relationships.
- Experience using AI and LLM-based tools in technical workflows and articulating Snowflake Cortex AI capabilities.
- Preferred experience with capital markets firms, tier-1 banks, insurers, or global asset managers.
- Preferred 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, event-driven data platforms, data mesh, data product design, or enterprise data governance frameworks.
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.