Senior Solution Engineer - Global Accounts

Reposted 17 Hours Ago
Be an Early Applicant
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 end-to-end technical relationship for a single global financial-services account: drive discovery, design PoCs, architect Snowflake-based data and AI solutions, lead technical evaluations, mentor junior SEs, and coordinate across Product, Services, Support, and Engineering to accelerate adoption and expansion.
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 financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. 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.

AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

  • Own the end-to-end technical relationship for a single strategic Global Account in financial services, 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 financial services buyers

  • Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments

  • Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements 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 financial services customers

  • Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence

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

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

BONUS POINTS FOR THE FOLLOWING:

  • Direct experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers

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

  • Familiarity with financial services 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 environments

  • Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance 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 Required

  • 8+ years in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology with significant financial services exposure
  • Deep understanding of FSI data use cases (risk management, regulatory reporting, market data, fraud analytics, AI/ML for credit and customer intelligence)
  • Hands-on expertise with cloud data platforms, ideally Snowflake, and ability to architect and demo enterprise-grade solutions live
  • Proficiency in SQL and Python and familiarity with data engineering tools (dbt, Spark, Kafka, or equivalent)
  • Excellent executive communication skills to engage with CDOs, CTOs, and CIOs at global financial institutions
  • Proven track record leading complex technical evaluations and winning competitive PoCs with strategic enterprise accounts
  • Experience using AI and LLM-based tools in technical workflows and articulating Snowflake Cortex AI capabilities in FSI contexts
  • Direct experience with capital markets firms, tier-1 banks, insurers, or global asset managers
  • Hands-on experience with Snowflake features: Cortex AI, data sharing, Snowpark, and Native Apps
  • Familiarity with cloud migration patterns and legacy platforms (Teradata, Oracle, Hadoop)
  • Experience with real-time data architectures, streaming ingestion, and event-driven platforms in regulated environments
  • Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance

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 considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
  • Equity Value & Accessibility Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
  • Healthcare Strength Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of 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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