Solutions Engineer - Globals

About the role

You will own the technical narrative for a single, named global financial services account as a core part of the enterprise sales cycle. Your days will be spent translating the vision of Snowflake's platform into concrete, credible demonstrations that directly address the customer's most pressing data challenges. You will act as a high-trust technical collaborator, using AI not as a novelty but as a pragmatic accelerator for problem solving and faster decision making. Success for you will mean moving from writing code to enabling others, guiding the customer through live experimentation and proof of concept work that uncovers new use cases. You will work with a tight inner circle of Account Executives and internal experts to ensure every technical interaction reinforces the commercial message. Your curiosity will be your compass, as you rapidly test emerging capabilities and reframe complex architecture discussions into clear, customer-centric outcomes. You will be expected to build deep institutional knowledge about the customer's data estate and leverage that insight to drive expansion and long term platform adoption. In this role, your identity is not just a presenter but a trusted advisor who helps define how work gets done in the era of the agentic enterprise.

Key facts

What you'll do

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.

Design and execute 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.

Partner closely with the Account Executive on day-to-day deal activity, preparing technical responses to RFPs, supporting commercial conversations, 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.

Own the preparation of technical artifacts such as architecture diagrams, integration patterns, and evaluation criteria responses that underpin the sales process.

Maintain a disciplined pipeline view of the opportunity, updating records and ensuring visibility for stakeholders into the current state of play.

Translate complex platform features into clear narratives that show tangible business value and risk mitigation for a regulated financial institution.

Champion the customer's perspective internally, feeding insights back to product, marketing, and engineering teams to influence future roadmap decisions.

Continuously refine your own learning by documenting successes, failures, and patterns so that the team can scale best practices across the account.

Requirements

5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial services organisations.

Solid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platforms.

Hands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutions.

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 and confident communication skills, with the ability to translate technical concepts for both engineering and business audiences within a financial institution.

Ability to manage multiple workstreams within a single account, staying organised across an active sales cycle while maintaining strong customer relationships.

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.

Commitment to operating with a high degree of integrity, discretion, and professionalism when handling sensitive financial data and complex stakeholder dynamics.

Practical notes

This role is based in London, Great Britain, and is open to full time employees. No specific hours, travel frequency, visa sponsorship details, or application deadlines are provided in the source material. You are expected to engage deeply with a single financial services customer, supporting the full sales cycle and post-sale expansion within the fast-paced, AI-first environment of Snowflake.