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Snowflake

Lead Forward Deployed Engineer - Migration

Lead Forward Deployed Engineer driving customer migrations and modernization of data ecosystems on the Snowflake AI Data Cloud. Partners with clients to design scalable architectures, optimize performance, and deliver AI/ML solutions while mentoring teams.

236k – 339kMenlo Park, CASolutions ArchitectureHybrid
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About the role

Responsibilities

  • Lead scoping, architecture, and direction as the FDE team embeds with customers to modernize their data and application ecosystem using the Snowflake AI Data Cloud
  • Partner closely with clients to understand business challenges and design, build, and implement cutting-edge data solutions on Snowflake
  • Work with multiple FDE teams, setting architecture and direction to design, build, and deploy robust software systems, tooling, and automation for customer solutions
  • Build prototypes, contribute to feature development, and fix problems to drive impact on the roadmap and improve product depth
  • Provide expert technical guidance, mentorship, and training to client teams on leveraging the Snowflake platform, including data management, analytics, AI/ML capabilities, and reporting/BI integration
  • Design scalable data pipelines and modern data architectures on Snowflake, ensuring data quality, integrity, and efficient processing
  • Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness
  • Champion Snowflake best practices and evaluate, recommend, and implement modern data integration tools and techniques
  • Identify and resolve technical challenges, performance bottlenecks, and operational issues
  • Travel up to 20% to collaborate with teams and stakeholders

Requirements

  • Prior experience working with customers on complex, multi-faceted projects
  • Prior experience delivering complex data-driven application migrations (big plus)
  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • Excellent problem-solving, analytical, and communication skills
  • Proficiency in programming and scripting languages such as Python, Go, Java or C++
  • Experience with developing AI/ML applications
  • Strong understanding of data modeling, data warehousing & data lake concepts, and cloud data platforms
  • Ability to work independently and collaboratively in a client-facing environment

Skills

PythonGoJavaC++AI/MLData ModelingData WarehousingData LakesCloud Data PlatformsData Pipelines

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