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Snowflake

Forward Deployed Engineer - Finance Analytics & AI Specialist

Snowflake
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about 4 hours ago
Menlo Park, CA, USAMid Level / Senior
H1B Sponsor

Base Salary

$163k - $214k/yr

Responsibilities

  • Lead end-to-end deployments of Snowflake Finance AI capabilities at strategic enterprise accounts.
  • Own technical scoping, design, build, and production rollout alongside customer finance and engineering teams.
  • Embed with customer teams onsite to accelerate adoption cycles and unblock deployment blockers.
  • Design and build AI agent workflows that encode repeatable customer business processes into reusable tools.
  • Build artifacts for customers, including documented playbooks and reusable skill libraries.
  • Run technical workshops to upskill customer data and analytics teams on Snowflake's AI development environment.
  • Build and improve semantic data models for natural language queries via Cortex Analyst.
  • Develop production finance and analytics dashboards as Streamlit apps deployed inside Snowflake.
  • Influence the product roadmap with deployment realities and surface field intelligence to product teams.

Requirements

  • 3+ years of experience in finance analytics, data engineering, or a technical finance-adjacent role.
  • Finance domain expertise with the ability to read balance sheets and explain financial metrics.
  • Full-stack data competency, including data ingestion, modeling, and BI reporting automation.
  • Experience using an AI coding assistant as a primary development tool.
  • Proficient in SQL, capable of writing complex queries without referencing documentation.
  • Demonstrable experience translating business requirements into technical specifications.
  • Strong client-facing communication skills to engage with finance leaders.

Tech Stack

GitPythonSnowflakeSQL

Categories

AI & MLData EngineeringFull Stack