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Senior Solutions Engineer – Financial Services

snowflake · Paris

Nouveau
Senior 🇬🇧 English
SQL Python dbt Spark Kafka Snowflake Cortex AI Snowpark Native Apps

Description du poste

About the role

Snowflake is looking for a senior‑level Solutions Engineer dedicated to a strategic global financial institution. You will own the full technical relationship, drive use‑case expansion across business units, and act as a trusted advisor to CTO, CDO and engineering leadership.

Key responsibilities

  • Own end‑to‑end technical relationship for a single global financial services account, from discovery through proof of concept and ongoing expansion.
  • Build and deliver demonstrations, solution architectures and executive presentations that map Snowflake’s platform to data and AI priorities of financial services buyers.
  • Design and lead PoC engagements covering risk analytics, regulatory data platforms, real‑time fraud detection, customer intelligence and AI/ML workloads.
  • Translate complex regulatory and technical requirements into production‑ready Snowflake solutions.
  • Partner with the Account Executive to co‑develop joint success plans and ensure technical alignment across opportunities.
  • Coordinate with Product, Professional Services, Support and Engineering to resolve blockers and accelerate adoption.
  • Mentor junior Solution Engineers, raising the technical standard of the global accounts practice.

Required profile

  • 8+ years of pre‑sales solution engineering, technical consulting or data engineering experience in enterprise B2B technology, with significant exposure to financial services customers.
  • Deep understanding of financial services data use cases such as risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics and AI/ML for credit and customer intelligence.
  • Proven track record of leading complex technical evaluations, winning competitive PoCs and building lasting technical relationships with strategic enterprise accounts.
  • Executive communication skills with the ability to engage credibly with CDOs, CTOs and CIOs at global financial institutions.
  • Experience using AI and LLM‑based tools in technical workflows and articulating Snowflake’s Cortex AI capabilities in an FSI context.

Required skills

  • SQL
  • Python
  • dbt
  • Spark
  • Kafka
  • Snowflake platform
  • Cortex AI
  • Snowpark
  • Native Apps

Questions fréquentes

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Source : ats:ashby

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snowflake

Paris