Snowflake · AI infrastructure

Senior Solution Engineer

  • Paris (On‑site)
  • Full-time

Still open on Snowflake's site · checked 1 hour ago

Level
Senior
Experience
8+ years
Posted

What you'll do

As written by Snowflake · Read the original

What You Will Do

  • Own the end-to-end technical relationship for a single strategic Global Account in financial services or manufacturing/telco, 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 enterprise buyers

  • Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, or smart manufacturing, supply chain telemetry, and AI/ML workloads

  • Act as a subject matter expert on enterprise data architecture, translating complex regulatory, operational, and technical requirements into practical, production-ready Snowflake solutions

  • Partner closely with the Account Executive/GAM 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

Requirements

Qualifications

  • 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services or manufacturing/telco customers

  • Deep understanding of enterprise data use cases across financial services or manufacturing

  • 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 enterprise environments (dbt, Spark, Kafka, or equivalent)

  • Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global 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 enterprise context

Nice to Have

  • Direct experience working within or selling to global financial institutions or enterprise manufacturers

  • Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps

  • Familiarity with enterprise cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)

  • Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated or industrial environments

  • Background in data mesh, data product design, or enterprise data governance frameworks relevant to industry compliance and operational requirements

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.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills

Stack

  • Python
  • SQL
  • Spark
  • dbt

Working languages

English

Company

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