Description
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 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.
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