Senior Forward Deployed Engineer
Senior · Full Time
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Role
What you'll do.
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.
Responsibilities
- 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
Qualifications
What we look for.
Technical
Programming Languages
Proficiency in Python, Go, Java, or C++ for software development and automation
AI/ML Development
Experience with developing artificial intelligence and machine learning applications
Data Architecture
Strong understanding of data modeling, data warehousing, and data lake concepts
Cloud Platforms
Knowledge of cloud data platforms and distributed computing environments
SQL Proficiency
Strong SQL skills and experience with relational databases (preferred)
Cloud Experience
Experience with AWS, Azure, or GCP cloud platforms (preferred)
Snowflake Experience
Prior experience implementing solutions on Snowflake Data Cloud (preferred)
Education
Bachelor's Degree
Bachelor's degree in Computer Science, Information Systems, or related technical field
Experience
Software Engineering
Senior-level software engineering experience with focus on data systems and cloud platforms
Client-Facing Work
Ability to work independently and collaboratively in customer-facing environments
Data Integration
Experience with data integration technologies and modern data processing workflows
Travel Flexibility
Willingness to travel up to 20% of time to collaborate with teams and stakeholders
Skills
Required
Python Programming
Advanced proficiency in Python for data engineering and automation development
Problem Solving
Excellent analytical and problem-solving skills for complex technical challenges
Communication
Strong written and verbal communication skills for client interaction
Data Modeling
Deep understanding of data warehousing concepts and modern data architectures
AI/ML Development
Hands-on experience building and deploying machine learning applications
Cloud Data Platforms
Experience with cloud-based data processing and analytics platforms
Preferred
SQL Expertise
Nice to haveAdvanced SQL skills and relational database optimization techniques
Multi-Cloud Experience
Nice to haveExperience across AWS, Azure, and Google Cloud Platform environments
Snowflake Platform
Nice to havePrior implementation experience with Snowflake Data Cloud solutions
Data Integration
Nice to haveExperience with modern ETL/ELT tools and data pipeline frameworks
Performance Tuning
Nice to haveQuery optimization and cost management expertise for cloud data platforms
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 200,000 – 287,500
Equity·Stock options
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
Process
Interview steps.
- 01
Initial Screening
Phone or video screening with recruiter to discuss background and role fit
- 02
Technical Assessment
Coding challenge or technical assessment focusing on data engineering and programming skills
- 03
Technical Interview
In-depth technical discussion covering cloud platforms, data architecture, and problem-solving
- 04
Customer Scenario Interview
Role-playing exercise demonstrating client consultation and technical advisory skills
- 05
Final Interview
Leadership and cultural fit interview with senior engineering management
- 06
Reference Check
Professional reference verification and background screening process
Full posting
Original listing.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
As a Senior Forward Deployed Engineer (FDE), you will be embedded with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will partner closely with clients to understand their business challenges and design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake.
WHAT YOU WILL BE RESPONSIBLE FOR:
Software Development: Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices.
Data Engineering & Platform Implementation: Design and implement scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment.
Performance Optimization & Best Practices: Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness within the Snowflake environment. Champion Snowflake best practices.
Modern Data Solutions: Evaluate, recommend, and implement modern data integration tools and techniques suitable for the Snowflake ecosystem, helping customers evolve their data capabilities.
Client Collaboration and Enablement: 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.
Troubleshooting and Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues.
REQUIREMENTS:
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.
To accelerate successful outcomes and foster trust, the role may involve travel up to 20% of the time to collaborate with teams and stakeholders.
DESIRABLE:
Strong proficiency in SQL and experience working with relational databases and data integration technologies.
Experience with cloud platforms (AWS, Azure, GCP).
Experience implementing solutions on the Snowflake Data Cloud.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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