Senior Forward Deployed Engineer

Snowflake1 months ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 200,000 – 287,500

Level

Senior

Role

Senior Forward Deployed Engineer

Posted

Feb 4, 2026

Full TimeSenior

The role

Summary

This Senior Forward Deployed Engineer role at Snowflake involves embedding with customers to lead data modernization initiatives using the Snowflake AI Data Cloud. The position requires designing and implementing cutting-edge data solutions, building software systems and automation tools, and serving as a trusted technical advisor to help enterprises achieve their full data potential with AI/ML capabilities.

What you'll do

Software Development: Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake

Documentation Creation: Create comprehensive documentation for developed solutions, technical configurations, and best practices

Data Pipeline Implementation: Design and implement scalable data pipelines and modern data architectures on Snowflake platform

Data Quality Assurance: Ensure data quality, integrity, and efficient processing within customer's modern data environments

Performance Optimization: Analyze and optimize data models, queries, and data processing workflows to maximize performance and cost-effectiveness

Best Practices Implementation: Champion Snowflake best practices and modern data solution methodologies

Technology Evaluation: Evaluate, recommend, and implement modern data integration tools suitable for the Snowflake ecosystem

Client Training and Enablement: Provide technical guidance, mentorship, and training to client teams on leveraging Snowflake platform effectively

Technical Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues

Customer Advisory: Act as trusted technical advisor to help customers achieve significant business value with Snowflake

What we look for

Technical

Programming LanguagesProficiency in Python, Go, Java, or C++ for software development and automation

AI/ML DevelopmentExperience with developing artificial intelligence and machine learning applications

Data ArchitectureStrong understanding of data modeling, data warehousing, and data lake concepts

Cloud PlatformsKnowledge of cloud data platforms and distributed computing environments

SQL ProficiencyStrong SQL skills and experience with relational databases (preferred)

Cloud ExperienceExperience with AWS, Azure, or GCP cloud platforms (preferred)

Snowflake ExperiencePrior experience implementing solutions on Snowflake Data Cloud (preferred)

Education

Bachelor's DegreeBachelor's degree in Computer Science, Information Systems, or related technical field

Experience

Software EngineeringSenior-level software engineering experience with focus on data systems and cloud platforms

Client-Facing WorkAbility to work independently and collaboratively in customer-facing environments

Data IntegrationExperience with data integration technologies and modern data processing workflows

Travel FlexibilityWillingness to travel up to 20% of time to collaborate with teams and stakeholders

Skills

Required skills

Python ProgrammingAdvanced proficiency in Python for data engineering and automation development

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

CommunicationStrong written and verbal communication skills for client interaction

Data ModelingDeep understanding of data warehousing concepts and modern data architectures

AI/ML DevelopmentHands-on experience building and deploying machine learning applications

Cloud Data PlatformsExperience with cloud-based data processing and analytics platforms

Nice to have

SQL ExpertiseAdvanced SQL skills and relational database optimization techniques

Multi-Cloud ExperienceExperience across AWS, Azure, and Google Cloud Platform environments

Snowflake PlatformPrior implementation experience with Snowflake Data Cloud solutions

Data IntegrationExperience with modern ETL/ELT tools and data pipeline frameworks

Performance TuningQuery optimization and cost management expertise for cloud data platforms

Compensation & benefits

Salary

USD 200,000 – 287,500 (annual)

Stock options

Available

Benefits

Equity Compensation

Stock options and equity participation in company growth

Professional Development

Opportunities for career advancement in fast-growing cloud data company

Innovation Culture

Collaborative environment focused on impact, innovation, and cutting-edge technology

Customer Interaction

Direct client engagement and technical advisory opportunities

Travel Opportunities

Professional travel for customer collaboration and stakeholder engagement

Interview process

1
Initial Screening — Phone or video screening with recruiter to discuss background and role fit
2
Technical Assessment — Coding challenge or technical assessment focusing on data engineering and programming skills
3
Technical Interview — In-depth technical discussion covering cloud platforms, data architecture, and problem-solving
4
Customer Scenario Interview — Role-playing exercise demonstrating client consultation and technical advisory skills
5
Final Interview — Leadership and cultural fit interview with senior engineering management
6
Reference Check — Professional reference verification and background screening process