Senior Solution Engineer - Global Accounts

Posted 2 Days Ago
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London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Own the full technical relationship for a strategic global healthcare account, from discovery and proof of concept through technical close and expansion. Architect and demonstrate Snowflake solutions for clinical interoperability, claims, population health, real-world evidence, and healthcare AI/ML. Advise senior healthcare technology leaders, translate regulatory requirements into production solutions, coordinate internal teams, develop account success plans, and mentor junior Solution Engineers.
Summary Generated by Built In

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 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. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, 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.

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

BONUS POINTS FOR THE FOLLOWING:

  • Direct experience working within or selling to health systems, payers, life sciences companies, or health technology platforms

  • Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps Familiarity with healthcare interoperability standards (HL7, FHIR, OMOP) and regulatory frameworks (HIPAA, GDPR)

  • Experience with real-time or near-real-time clinical and operational data pipelines in regulated environments

  • Background in data governance, de-identification, or privacy-preserving analytics relevant to healthcare compliance requirements

  • Prior experience in a dedicated named-account or strategic account SE role, where your sole focus was one customer

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 Required

  • 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology
  • Significant experience with healthcare or life sciences customers
  • Deep understanding of healthcare data use cases, including HL7/FHIR interoperability, claims and payer analytics, population health, real-world evidence, and AI/ML for diagnostics or care optimization
  • Hands-on expertise with cloud data platforms, ideally including Snowflake
  • Ability to architect and demonstrate enterprise-grade solutions live
  • Proficiency in SQL, Python, and healthcare data engineering tools such as dbt or Spark
  • Excellent executive communication skills with CDOs, CTOs, CMIOs, and CIOs
  • Track record of leading complex technical evaluations, winning competitive proofs of concept, and building lasting strategic enterprise relationships
  • Experience using AI and LLM-based tools in technical workflows
  • Ability to articulate Snowflake Cortex AI capabilities in healthcare contexts, including privacy and compliance considerations
  • Experience working within or selling to health systems, payers, life sciences companies, or health technology platforms
  • Hands-on experience with Snowflake, Cortex AI, data sharing, Snowpark, and Native Apps
  • Familiarity with HL7, FHIR, OMOP, HIPAA, and GDPR
  • Experience with real-time or near-real-time clinical and operational data pipelines in regulated environments
  • Background in data governance, de-identification, or privacy-preserving analytics
  • Prior experience in a dedicated named-account or strategic-account Solution Engineer role

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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