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Senior Solution Engineer - Global Accounts

snowflake · London

New
Senior 🇬🇧 English
Snowflake SQL Python dbt Spark Kafka AI LLM Cortex AI Snowpark Native Apps data mesh enterprise data governance

Job description

About the role

At Snowflake we are powering the era of the agentic enterprise, seeking AI‑native thinkers who treat AI as a high‑trust collaborator. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial‑services customers, focusing on a single global financial institution.

Key responsibilities

  • Own the end‑to‑end technical relationship for a strategic global account, from discovery through proof of concept, technical close and ongoing expansion.
  • Build and deliver compelling demonstrations, solution architectures and executive presentations that map Snowflake’s platform to financial‑services data and AI priorities.
  • Design and lead PoC engagements covering risk analytics, regulatory data platforms, real‑time fraud detection, customer intelligence and AI/ML workloads.
  • Act as a subject‑matter expert on financial‑services data architecture, translating complex regulatory and technical requirements into production‑ready Snowflake solutions.
  • Partner with the Account Executive as the sole technical owner, co‑developing success plans and ensuring alignment across opportunities.

Required profile

  • 8+ years of experience in pre‑sales solution engineering, technical consulting or data engineering 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.

Required skills

  • Hands‑on expertise with cloud data platforms, ideally Snowflake.
  • Proficiency in SQL and Python.
  • Experience with data‑engineering tools such as dbt, Spark, Kafka (or equivalents).
  • Familiarity with AI/LLM‑based tools and Snowflake Cortex AI capabilities.
  • Knowledge of real‑time data architectures, streaming ingestion and event‑driven platforms in regulated environments.

Questions fréquentes

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Source : ats:ashby

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snowflake

London