Snowflake

5 months ago

Senior Forward Deployed Engineer -Spark

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior Forward Deployed Engineer embedded with customers to modernize data and application ecosystems on the Snowflake AI Data Cloud, focusing on Spark and Data Engineering workloads. You’ll design and implement scalable data solutions, collaborate with clients to deliver measurable business value, and mentor teams while navigating a dynamic, AI-driven environment.

Location: Menlo Park, Bellevue

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.

Travel: Low travel

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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.

Education:Bachelor's

Skills:Problem-solvingCommunicationAnalyticalTeamworkClient-facing

Languages:English

Tech Stack:PythonGoJavaC++SparkSQLSnowflakeAWSAzureGCP

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Snowflake

5 months ago

Senior Forward Deployed Engineer -Spark

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Menlo Park, Bellevue

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.

Travel: Low travel

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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.

Education:Bachelor's

Skills:Problem-solvingCommunicationAnalyticalTeamworkClient-facing

Languages:English

Tech Stack:PythonGoJavaC++SparkSQLSnowflakeAWSAzureGCP

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn