Senior Forward Deployed Engineer -spark

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Engineering

Senior Forward Deployed Engineer embedded with customers to modernize their data and application ecosystem using Snowflake AI Data Cloud, focusing on Spark and Data Engineering workloads. Designs, builds, and implements data solutions, pipelines, and architectures, optimizing performance and enabling customers to leverage AI/ML capabilities.

What you'd actually do

  1. Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake.
  2. Design and implement scalable data pipelines and modern data architectures on Snowflake.
  3. Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness within the Snowflake environment.
  4. Evaluate, recommend, and implement modern data integration tools and techniques suitable for the Snowflake ecosystem, helping customers evolve their data capabilities.
  5. Provide expert technical guidance, mentorship, and training to client teams on leveraging the Snowflake platform effectively, including data management, analytics, AI/ML capabilities, and reporting/BI integration.

Skills

Required

  • Python
  • Go
  • Java
  • C++
  • Spark ecosystem
  • data modeling
  • data warehousing
  • data lake concepts
  • cloud data platforms
  • client-facing environment

Nice to have

  • SQL
  • relational databases
  • data integration technologies
  • developing AI/ML applications
  • AWS
  • Azure
  • GCP
  • Snowflake Data Cloud

What the JD emphasized

  • AI-native thinkers
  • AI as a high-trust collaborator
  • reinvent how they work
  • AI/ML capabilities

Other signals

  • customer-facing
  • modernize data and application ecosystem
  • harness the full potential of their data
  • powering AI initiatives