Senior Forward Deployed Engineer -Spark

US-CA-Menlo Park On-site Posted Apr 1
👔 Senior

Senior Forward Deployed Engineer -Spark at Snowflake is a forward deployed cloud data warehouse role for engineers who want customer-facing technical work with real deployment ownership.

Reading this role

This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: AWS, Azure, GCP, Python.

About Snowflake

Snowflake field engineers drive warehouse migrations and analytics modernization with enterprise buyers. The role is anchored in US-CA-Menlo Park, so expect on-site customer work in that region.

Signals in the listing

  • AWS
  • Azure
  • GCP
  • Python
  • Senior scope

Stand out for Senior Forward Deployed Engineer -Spark

  • Lead your application with one paragraph tying Senior Forward Deployed Engineer -Spark to a specific customer or deployment you owned — Snowflake hires for shipped outcomes, not tool lists.
  • Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
  • Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
  • The posting mentions multiple languages — pick the one most relevant to this team and show production code, not tutorial exercises.
  • This role is tied to US-CA-Menlo Park — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).

Stand out at Snowflake

  • Demonstrate SQL/ELT patterns with a concrete example — Snowflake will probe for specifics, not buzzwords.
  • Demonstrate cost governance with a concrete example — Snowflake will probe for specifics, not buzzwords.
  • Proof of running a successful migration or cost-optimization project beats generic cloud buzzwords.
  • Read recent engineering blog posts, product launches, and customer stories on snowflake.com — reference one explicitly in your outreach to show genuine interest.

Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. 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 especially focus on modernizing their Spark and Data Engineering focused workloads. 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++.
  • Proficiency in Spark ecosystem.
  • 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 developing AI/ML applications.
  • 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 http://careers.snowflake.com

What is the Senior Forward Deployed Engineer -Spark role at Snowflake?
This is a forward deployed engineering position at Snowflake based in US-CA-Menlo Park. Forward deployed engineers work directly with customers to deploy and integrate software on-site.
Where is this Snowflake role located?
This Senior Forward Deployed Engineer -Spark position is in US-CA-Menlo Park. Use the apply link above to confirm location details and hybrid/remote options on the company's careers page.
How do I apply for this Snowflake job?
Click the apply button to open the official Snowflake careers listing. Forward Deployed Jobs aggregates public ATS feeds — applications are handled directly by the hiring company.