3 days ago
Paris, FranceSenior
Responsibilities
- Own the end-to-end technical relationship for a strategic global 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 enterprise data and AI priorities.
- Design and lead proof-of-concept engagements involving risk analytics, regulatory data platforms, fraud detection, smart manufacturing, supply-chain telemetry, and AI/ML workloads.
- Translate regulatory, operational, and technical requirements into production-ready Snowflake solutions.
- Partner with account executives, global account managers, and leadership on account success plans and technical alignment.
- Coordinate with Product, Professional Services, Support, and Engineering to resolve blockers and accelerate customer adoption.
Requirements
- 8+ years of experience in pre-sales solution engineering, technical consulting, or enterprise data engineering in enterprise B2B technology.
- Significant experience with financial services or manufacturing and telecommunications customers.
- Deep understanding of enterprise data use cases and strong hands-on expertise with cloud data platforms, ideally Snowflake.
- Proficiency in SQL, Python, and enterprise data engineering tools such as dbt, Spark, or Kafka.
- Excellent executive communication skills and the ability to engage CDOs, CTOs, and CIOs at global institutions.
- Track record leading complex technical evaluations, winning competitive proof-of-concepts, and developing strategic enterprise relationships.
- Experience using AI and LLM-based tools in technical workflows and articulating Snowflake Cortex AI capabilities.
- Preferred experience includes Snowflake, Cortex AI, data sharing, Snowpark, Native Apps, cloud migration, Teradata, Oracle, Hadoop, real-time data architectures, streaming ingestion, event-driven platforms, data mesh, data product design, and enterprise data governance.
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.