Senior Solution Engineer
Snowflake · FR-Paris
Big Tech AIonsitesenior
At a glance
Highlights
- Own the full technical relationship for a single strategic global enterprise account.
- Advise CTOs and CDOs while driving use-case expansion across business units.
- Lead PoCs for fraud detection, risk analytics, and smart manufacturing AI.
Ideal candidate
AI-native, low-ego problem-solver who thrives in fast-moving environments and experiments rapidly. You love owning strategic enterprise relationships and advising senior leaders on data and AI transformation.
Requirements
- 8+ years in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology
- Significant exposure to financial services or manufacturing/telco customers
- Deep understanding of enterprise data use cases across financial services or manufacturing
- Hands-on expertise with cloud data platforms and ability to architect and demo enterprise-grade solutions live
- Proficiency in SQL, Python, and enterprise data engineering tools (dbt, Spark, Kafka or equivalent)
- Excellent executive communication skills engaging CDOs, CTOs, and CIOs at global institutions
- Track record leading complex technical evaluations, winning competitive PoCs, and building lasting enterprise relationships
- Experience using AI and LLM-based tools in technical workflows and articulating Cortex AI capabilities
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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