Высокоуровневая роль в лидере рынка на стыке Fintech и AI. Модель выделенного аккаунта дает глубокое владение продуктом и отличную видимость в компании, хотя отсутствие зарплаты в описании — единственный минус.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Solution Engineer (Fintech): Driving the technical relationship and solution architecture for a strategic global financial services account with an accent on data engineering, AI/ML workloads, and regulatory compliance. Focus on designing production-ready Snowflake solutions, leading complex PoCs, and acting as a trusted advisor to C-level executives.
Location: On-site in Paris, France
Company
Snowflake is a cloud-native data platform powering the era of the agentic enterprise by redefining how data and AI are utilized in the corporate world.
What you will do
Own the end-to-end technical relationship for a strategic Global Account in financial services, from discovery through to ongoing expansion.
Build and deliver solution architectures and executive presentations that align platform capabilities with FSI data and AI priorities.
Design and lead proof of concept (PoC) engagements covering risk analytics, fraud detection, and AI/ML workloads.
Translate complex regulatory and technical requirements into practical, production-ready Snowflake solutions.
Collaborate with Product, Engineering, and Support teams to resolve blockers and accelerate customer adoption.
Mentor junior Solution Engineers to elevate the technical standard of the global accounts practice.
Requirements
8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B tech.
Deep understanding of FSI data use cases, including risk management and regulatory reporting (Basel, MiFID II, GDPR).
Hands-on expertise with cloud data platforms and proficiency in SQL and Python.
Experience with data engineering tools commonly used in FSI, such as dbt, Spark, or Kafka.
Proven ability to engage credibly with C-level executives (CDOs, CTOs, CIOs) at global institutions.
Experience using AI and LLM-based tools in technical workflows.
Nice to have
Direct experience selling to or working within tier-1 banks, insurers, or global asset managers.
Hands-on experience with Snowflake Cortex AI, Snowpark, and Native Apps.
Familiarity with legacy platform migrations from Teradata, Oracle, or Hadoop.
Knowledge of real-time data architectures and event-driven platforms in regulated environments.
Background in data mesh, data product design, or enterprise data governance frameworks.
Culture & Benefits
High-visibility role with direct exposure to Snowflake's executive leadership.
Innovation-driven environment that treats AI as a high-trust collaborator core to problem-solving.
Experimental culture that encourages rapidly testing emerging capabilities to simplify and improve results.
Opportunity to work with one of the company's most strategically important global customers.
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