Топовая роль в лидере рынка с фокусом на AI и стратегических финтех-клиентах. Высокая видимость и современный стек делают этот вариант отличным для карьеры.
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Hirify AI/Оригинал
TL;DR
Senior Solution Engineer (Fintech): Owning the technical relationship for a strategic global financial institution to drive use case expansion and platform adoption with an accent on data architecture and AI/ML workloads. Focus on designing complex PoCs for risk analytics, fraud detection, and regulatory data platforms.
Location: Hybrid (London, GB)
Company
Snowflake is a cloud data platform powering the era of the agentic enterprise through AI-native thinking and innovative data solutions.
What you will do
Own the end-to-end technical relationship for a strategic Global Account in financial services, from discovery to ongoing expansion.
Design and deliver solution architectures and executive presentations connecting platform capabilities to AI priorities.
Lead proof of concept (PoC) engagements for risk analytics, regulatory data platforms, and real-time fraud detection.
Act as a subject matter expert on financial services data architecture and complex regulatory requirements.
Partner with Account Executives to co-develop joint success plans and ensure technical alignment.
Mentor junior Solution Engineers and coordinate with Product and Engineering teams to resolve account blockers.
Requirements
8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology.
Deep understanding of financial services data use cases including risk management and regulatory reporting (Basel, MiFID II, GDPR).
Hands-on expertise with SQL, Python, and data engineering tools (dbt, Spark, Kafka).
Proven track record of engaging credibly with CDOs, CTOs, and CIOs at global financial institutions.
Experience using AI and LLM-based tools in technical workflows.
Must be based in London, GB for a hybrid work arrangement.
Nice to have
Hands-on experience with Snowflake Cortex AI, Snowpark, and Native Apps.
Experience migrating legacy platforms such as Teradata, Oracle, or Hadoop to the cloud.
Familiarity with real-time data architectures and event-driven platforms in regulated environments.
Knowledge of data mesh, data product design, or enterprise data governance frameworks.
Culture & Benefits
Experimental mindset where AI is treated as a high-trust collaborator.
High-visibility role with direct exposure to Snowflake's leadership.
Dynamic, fast-moving environment focused on redefining the future of work.
Opportunity to work with one of the world's most strategic financial services customers.
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