Solution Engineer - FSI

Snowflake; London (KY); On-site; USD 120,000 - 170,000; Full time

Job summary

Snowflake is seeking an experienced Solution Engineer dedicated to a single strategic Global Account in financial services. You will be embedded in the technical relationship from day one, supporting the full sales cycle and post-sale expansion.

You will build tailored demos, run PoCs, and coordinate with services, support, and product teams to deliver trusted solutions. You will develop deep knowledge of the customer’s data environment, map Snowflake platform capabilities to business

Qualifications

• 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology.
• Foundational understanding of cloud data platforms and modern data architectures.
• Proficiency in SQL and Python, with ability to write and debug scripts, build PoC pipelines, and work in a technical customer environment.
• Clear communication skills to translate complex concepts for both engineering and business audiences within a financial institution.
• Strong organizational skills to manage multiple work-streams within an active sales cycle.
• Genuine curiosity about AI and data technology, with eagerness to develop expertise in Cortex AI for FSI contexts.
• Growth mindset and motivation to progress toward senior solution engineering responsibilities.

Responsibilities

• Support end-to-end technical sales engagements for a single strategic Global Account in financial services, from discovery to technical close.
• Build and deliver tailored demonstrations and solution presentations linked to customer data challenges.
• Design and execute PoC engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, and AI/ML workloads.
• Develop knowledge of the customer's data architecture and cloud environment to position Snowflake solutions credibly.
• Assist the Account Executive with technical responses to RFPs and remove blockers.
• Coordinate with Professional Services, Support, and Product teams to ensure timely resources for the customer.
• Build strong relationships with the customer's data engineers, architects, and technical managers.

Skills

SQL

Python

Pre-sales

Data engineering

Technical consulting

Tools

dbt

Kafka

Spark

Job 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 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 an Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role where your entire focus will be a single global financial institution. You will be embedded in the technical relationship from day one, supporting the full sales cycle and post-sale expansion. Working under the guidance of a Senior Solution Engineer and alongside an Account Executive, you will build your technical craft on one of the most data-rich accounts in Snowflake's EMEA portfolio, developing deep knowledge of the customer's data environment and using it to support new use cases across the organisation.

AS AN SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

• Support end-to-end technical sales engagements for a single strategic Global Account in financial services, from initial discovery and qualification through proof of concept delivery and technical close
• Build and deliver tailored demonstrations and solution presentations that connect Snowflake's platform capabilities to the customer's specific data challenges and business objectives
• Assist in the design and execution of proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloads
• Develop working knowledge of the customer's existing data architecture, cloud environment, and technology stack to position Snowflake solutions accurately and credibly
• Support the Account Executive on day-to-day deal activity, preparing technical responses to RFPs and helping remove technical blockers
• Coordinate with Snowflake's Professional Services, Support, and Product teams to ensure the customer receives the right resources at the right time
• Build strong working relationships with the customer's data engineers, architects, and technical managers, becoming a reliable and trusted point of contact

OUR IDEAL SOLUTION ENGINEER WILL HAVE:

• 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial services organisations
• A foundational understanding of cloud data platforms and modern data architectures, with the appetite to go deep fast
• Proficiency in SQL and Python, with the ability to write and debug scripts, build PoC pipelines, and work comfortably in a technical customer environment
• Clear communication skills, with the ability to translate technical concepts for both engineering and business audiences within a financial institution
• Strong organisational skills and the ability to manage multiple work-streams within an active sales cycle
• Genuine curiosity about AI and data technology, with an eagerness to develop expertise in Snowflake's Cortex AI capabilities and apply them in FSI contexts
• A growth mindset: you take feedback well, seek out coaching, and are motivated to progress toward senior solution engineering responsibilities

BONUS POINTS FOR THE FOLLOWING:

• Hands-on exposure to Snowflake through work projects, certifications, or personal use
• Internships or placements in pre-sales, technical consulting, or data engineering within technology companies
• Familiarity with data tools commonly used in FSI environments (dbt, Kafka, Spark, or equivalent)
• Coursework or foundational knowledge of financial services concepts such as risk management, regulatory reporting, or fraud analytics
• Exposure to customer-facing presentations, demos, or hackathons

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