Lead Forward Deployed Engineer - Migration

Snowflake
Menlo Park
Workplace: HybridFull timeUSD 236,000 - 339,250 annuallyFunction: Administration & Executive AssistanceEducation: bachelorsSkills: ["Python","Go","Java","C++","AI/ML","Data modeling","Data warehousing","BI","Snowflake"]

Lead a migration-focused forward deployed engineering team to design, build, and deploy modern data solutions on Snowflake for multiple customers. Drive architecture, supervise software development, and mentor clients while accelerating AI-driven data migrations and platform modernization in a collaborative, high-impact environment.

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FursaFursa
Snowflake
Snowflake
4 months ago

Lead Forward Deployed Engineer - Migration

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead a migration-focused forward deployed engineering team to design, build, and deploy modern data solutions on Snowflake for multiple customers. Drive architecture, supervise software development, and mentor clients while accelerating AI-driven data migrations and platform modernization in a collaborative, high-impact environment.
Location: Menlo Park
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Migration Project Execution: Set architecture and direction for the team to design, build, and deploy robust software systems and automation for customer solutions on Snowflake.
  • •Software Development: Contribute to product through prototypes and feature development to impact the roadmap and product depth.
  • •Client Collaboration and Enablement: Provide expert technical guidance, mentorship, and training to client teams on Snowflake capabilities including data management, analytics, AI/ML, and BI integration.
  • •Platform Implementation: Design scalable data pipelines and modern data architectures on Snowflake, ensuring data quality and efficient processing.
  • •Performance Optimization & Best Practices: Analyze and optimize data models and queries to maximize performance, efficiency, and cost-effectiveness.
Travel: Medium travel

Pay and Benefits

Salary: USD 236,000 - 339,250 annually
Equity and Bonus:Equity

Key Requirements

  • •Prior experience working with customers on complex, multi-faceted projects.
Experience:CloudData engineeringAI/MLData warehousing
Education:Bachelor's
Skills:PythonGoJavaC++AI/MLData modelingData warehousingBISnowflake
Tech Stack:PythonGoJavaC++SnowflakeAI/MLData warehousingData lakeCloud

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn