Senior Solution Engineer

Snowflake; Paris; Sur place; EUR 95 000 - 135 000; Plein temps

Résumé du poste

Snowflake is hiring a Senior Solution Engineer to manage the technical relationship for a strategic Global Account in financial services or manufacturing/telco. You will lead demonstrations, architecture designs, and PoCs, translating regulatory and operational needs into scalable Snowflake solutions.

You will collaborate with executives and cross-functional teams to drive adoption and expansion across business units. Strong SQL/Python and AI tools experience are essential.

Qualifications

• 8+ years in pre-sales solution engineering or data engineering in enterprise B2B tech.
• Deep understanding of enterprise data use cases across financial services or manufacturing.
• Strong hands-on experience with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions.
• Proficiency in SQL, Python, and data engineering tools (dbt, Spark, Kafka).
• Excellent executive communication with CTOs, CIOs, and other leaders.
• Experience using AI/LLM-based tools in technical workflows and articulating Cortex AI capabilities.

Responsabilités

• Own end-to-end technical relationship for a Global Account in financial services or manufacturing/telco, from discovery to proof of concept and expansion.
• Build and deliver demonstrations, solution architectures, and executive presentations linking Snowflake to data/AI priorities.
• Design and lead PoC engagements covering risk analytics, regulatory data platforms, fraud detection, or smart manufacturing and supply chain telemetry.
• Translate complex regulatory, operational, and technical requirements into production-ready Snowflake solutions.
• Partner with Account Exec/GAM and leadership as the sole technical owner of the account; align opportunities.
• Coordinate across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.

Connaissances

SQL

Python

dbt

Spark

Kafka

Data engineering

Cortex AI

Outils

Snowflake

dbt

Spark

Kafka

Cortex AI

Description du poste

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.

We are hiring a Senior Solution Engineer dedicated to one of Snowflake’s most strategically important enterprise customers. Depending on alignment, your client will sit within either Financial Services or technology, telecommunications & industrial manufacturing. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake’s leadership.

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

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?