Lead Forward Deployed Engineer - Migration

Snowflake1 months ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 236,000 – 339,250

Level

Lead

Role

Lead Forward Deployed Engineer

Posted

May 12, 2026

Full TimeLead

The role

Summary

A Lead Forward Deployed Engineer role at Snowflake focused on driving customer data migrations and modernization using Snowflake's AI Data Cloud. The position requires deep technical expertise in data platforms, cloud migrations, and AI/ML applications, with a critical focus on enabling customers to transform their data ecosystem and achieve significant business value.

What you'll do

Migration Project Execution: Lead architecture and direction for migration teams, designing and deploying robust software systems, tooling, and automation to support customer solutions on Snowflake's platform.

Software Development: Contribute to product development by building prototypes, developing features, and resolving technical challenges to drive product roadmap impact.

Client Collaboration and Enablement: Provide expert technical guidance, mentorship, and training to client teams on leveraging Snowflake's platform, including data management, analytics, AI/ML capabilities, and BI integration.

Platform Implementation: Design scalable data pipelines and modern data architectures, ensuring data quality, integrity, and efficient processing within customer environments.

Performance Optimization: Analyze and optimize data models, queries, and workflows to maximize performance, efficiency, and cost-effectiveness in the Snowflake ecosystem.

Modern Data Solutions: Evaluate, recommend, and implement cutting-edge data integration tools and techniques suitable for the Snowflake platform.

Technical Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues in customer data environments.

What we look for

Technical

Programming LanguagesProficiency in Python, Go, Java, or C++ with strong scripting and development capabilities

AI/ML DevelopmentExperience in developing AI and machine learning applications

Data Platform ExpertiseStrong understanding of data modeling, data warehousing, data lake concepts, and cloud data platforms

Education

Academic QualificationBachelor's degree in Computer Science, Information Systems, or related technical field

Experience

Project ExperiencePrior experience working with customers on complex, multi-faceted projects

Migration ExpertiseProven experience in delivering complex data-driven application migrations

Skills

Required skills

Problem SolvingAdvanced analytical and problem-solving skills for complex technical challenges

CommunicationExcellent communication abilities for client interactions and technical collaboration

Client EngagementAbility to work independently and collaboratively in client-facing environments

Nice to have

Data MigrationSpecialized experience in large-scale data migration projects

Cloud ArchitectureAdvanced knowledge of cloud data platform architectures

Compensation & benefits

Salary

USD 236,000 – 339,250 (annual)

Stock options

Available

Benefits

Equity

Stock options/equity compensation as part of total package

Interview process

1
Initial Screening — Technical resume review and initial recruiter discussion
2
Technical Interview — In-depth technical assessment of data migration, cloud, and AI/ML skills
3
Client Engagement Assessment — Evaluation of client collaboration and communication capabilities
4
Leadership and Architecture Review — Technical leadership and system design discussion with senior engineering leaders
5
Final Interview — Comprehensive interview with hiring manager and team representatives