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.
We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important healthcare customers. This is a named-account role: your entire focus will be a single global healthcare organisation, whether a payer, provider, life sciences company, or health technology platform.
AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:
- Own the end-to-end technical relationship for a single strategic Global Account in healthcare, 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 account's clinical, operational, and research data priorities
- Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation
- Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/FHIR) into practical, production-ready Snowflake solutions
- Partner closely with the Account Executive 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
- Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice
OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:
- 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to healthcare or life sciences customers
- Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation
- 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 healthcare environments (dbt, Spark, or equivalent)
- Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, CMIOs, and CIOs at large healthcare organisations
- Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships within a single strategic enterprise account
- Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in a healthcare context, including data privacy and compliance considerations