Senior Forward Deployed Engineer

Senior · Full Time

US-CA-Menlo ParkUSD 200k – 288k5mo ago
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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 have

    Advanced SQL skills and relational database optimization techniques

  • Multi-Cloud Experience

    Nice to have

    Experience across AWS, Azure, and Google Cloud Platform environments

  • Snowflake Platform

    Nice to have

    Prior implementation experience with Snowflake Data Cloud solutions

  • Data Integration

    Nice to have

    Experience with modern ETL/ELT tools and data pipeline frameworks

  • Performance Tuning

    Nice to have

    Query optimization and cost management expertise for cloud data platforms

Tech stack

Languages

PythonSQLGoJavaC++

Frameworks

AI/ML FrameworksData Integration Tools

Databases

Snowflake Data CloudRelational DatabasesData Lakes

Tools

Cloud PlatformsData Pipeline ToolsBI Integration Tools

Other

Data ModelingPerformance Optimization

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.

  1. 01

    Initial Screening

    Phone or video screening with recruiter to discuss background and role fit

  2. 02

    Technical Assessment

    Coding challenge or technical assessment focusing on data engineering and programming skills

  3. 03

    Technical Interview

    In-depth technical discussion covering cloud platforms, data architecture, and problem-solving

  4. 04

    Customer Scenario Interview

    Role-playing exercise demonstrating client consultation and technical advisory skills

  5. 05

    Final Interview

    Leadership and cultural fit interview with senior engineering management

  6. 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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