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Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!

Snowflake

Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!

full-timePosted: Nov 3, 2025

Job Description

Solution Engineer - Data Engineering Specialist at Snowflake

Snowflake is revolutionizing the way organizations use data. As a Solution Engineer specializing in Data Engineering, you'll be at the forefront of this transformation, helping our customers unlock the full potential of their data with Snowflake's innovative platform. This role is a unique blend of technical expertise, business acumen, and customer interaction, offering a challenging and rewarding career path.

Role Overview

As a Data Engineering Specialist, you will be a key technical advisor to our sales team, working with both technical and business leaders at our customer organizations. Your primary focus will be on architecting and designing solutions that leverage the Snowflake Cloud Data Platform for data ingestion, transformation, and lakehouse workloads. You'll be involved in all stages of the sales cycle, from initial discovery and demonstrations to proof of concept and implementation. This requires a deep understanding of data engineering principles, cloud technologies, and the ability to communicate complex technical concepts to a variety of audiences.

A Day in the Life

Here's a glimpse into what a typical day might look like:

  • Morning: Start with a team meeting to discuss ongoing sales opportunities and strategize on how to best position Snowflake. You might also spend time researching a new customer prospect, understanding their data landscape, and identifying potential pain points.
  • Mid-day: Conduct a workshop with a customer's data engineering team to understand their current architecture and future needs. Present a compelling demonstration of Snowflake's capabilities, focusing on how it can address their specific challenges.
  • Afternoon: Work on a proof of concept (POC) to demonstrate the value of Snowflake in a real-world scenario. This might involve building data pipelines, optimizing query performance, or showcasing advanced analytics features. Collaborate with Snowflake's product and engineering teams to provide feedback and contribute to product improvements.
  • Evening: Catch up on industry news and trends, staying abreast of the latest developments in data engineering, cloud technologies, and competitive solutions. Prepare for upcoming presentations and customer meetings.

Why Remote?

Snowflake embraces remote work, recognizing the benefits of a distributed workforce. Working remotely as a Solution Engineer offers several advantages:

  • Flexibility: Enjoy a flexible work schedule that allows you to balance your professional and personal life.
  • Autonomy: Take ownership of your work and manage your time effectively.
  • Global Reach: Collaborate with colleagues and customers from around the world.
  • Reduced Commute: Eliminate the daily commute and save time and money.
  • Focus: Create a dedicated workspace that minimizes distractions and maximizes productivity.

Career Path

Snowflake offers a well-defined career path for Solution Engineers, allowing you to grow and advance your skills and responsibilities. Potential career progression includes:

  • Senior Solution Engineer: Lead complex sales engagements, mentor junior team members, and contribute to the development of best practices.
  • Principal Solution Engineer: Serve as a technical expert, providing guidance on the most challenging projects and influencing product strategy.
  • Solution Engineering Manager: Lead a team of Solution Engineers, providing coaching, mentoring, and performance management.
  • Director of Solution Engineering: Oversee a region or vertical, responsible for the overall success of the Solution Engineering organization.

Salary and Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and location. The salary range for this role is typically between $140,000 and $250,000 per year, with the potential for bonuses and stock options. Benefits include:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off (PTO) and holidays
  • Employee stock purchase plan (ESPP)
  • Retirement savings plan (401k) with company match
  • Life insurance and disability coverage
  • Employee assistance program (EAP)
  • Flexible spending accounts (FSA)
  • Health savings accounts (HSA)
  • Wellness programs and resources
  • Professional development opportunities
  • Training and certification programs
  • Employee referral program
  • Generous parental leave policy
  • Paid volunteer time
  • Commuter benefits (if applicable)
  • Employee discounts on various products and services
  • Company-sponsored social events and team-building activities

Innovation Culture

Snowflake is a company built on innovation. We encourage our employees to think outside the box, challenge the status quo, and come up with new and creative solutions. We foster a culture of collaboration, where everyone is encouraged to share their ideas and contribute to the success of the company.

How to Apply

To apply for the Solution Engineer - Data Engineering Specialist position, please visit the Snowflake careers website and submit your resume and cover letter. Be sure to highlight your relevant experience and skills, and explain why you are interested in working for Snowflake.

FAQ

  1. What is Snowflake? Snowflake is a cloud-based data platform that enables organizations to store, process, and analyze vast amounts of data.
  2. What is a Solution Engineer? A Solution Engineer is a technical advisor who works with the sales team to help customers understand the value of Snowflake and design solutions that meet their specific needs.
  3. What skills are required for this role? The ideal candidate will have a strong background in data engineering, cloud technologies, and pre-sales. Excellent communication and presentation skills are also essential.
  4. What is the career path for a Solution Engineer at Snowflake? Snowflake offers a well-defined career path for Solution Engineers, with opportunities to advance to Senior Solution Engineer, Principal Solution Engineer, Solution Engineering Manager, and Director of Solution Engineering.
  5. What is the salary range for this role? The salary range for this role is typically between $140,000 and $250,000 per year, with the potential for bonuses and stock options.
  6. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, retirement savings plan, and more.
  7. What is the company culture like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and customer focus.
  8. Is this a remote position? Yes, this position is remote, allowing you to work from anywhere in the United States.
  9. What is the interview process like? The interview process typically involves a phone screening, technical interview, and final interview with the hiring manager.
  10. How can I prepare for the interview? To prepare for the interview, research Snowflake's products and services, practice your technical skills, and be ready to discuss your experience and qualifications.

Locations

  • Remote, USA (Remote)

Salary

Estimated Salary Rangehigh confidence

140,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Architectureintermediate
  • Data Engineeringintermediate
  • Pre-salesintermediate
  • Sales Engineeringintermediate
  • Solution Engineeringintermediate
  • Solution Architectureintermediate
  • Presentation Skillsintermediate
  • Customer Communicationintermediate
  • Database Technologyintermediate
  • Data Warehouse Technologyintermediate
  • ETLintermediate
  • Analyticsintermediate
  • Cloud Technologiesintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETL Toolsintermediate
  • ELT Data Pipelinesintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming Technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Real-time Use Casesintermediate
  • CDCintermediate
  • Data Lakehouse Architectureintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate

Required Qualifications

  • 10+ years of architecture and data engineering experience within the Enterprise Data space (experience)
  • 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…) (experience)
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos (experience)
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions (experience)
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture (experience)
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric (experience)
  • Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies (experience)
  • Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica (experience)
  • Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) (experience)
  • Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet (experience)
  • Strong architectural expertise in data engineering to confidently present (experience)
  • Bachelor's degree in Computer Science, Engineering, or a related field (preferred) (experience)

Responsibilities

  • Apply multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
  • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
  • Provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform.
  • Strategize on how to navigate winning sales cycles.
  • Provide compelling value-based demonstrations of Snowflake’s capabilities.
  • Support enterprise Proof of Concepts (POCs) to validate solutions.
  • Work directly with the sales team to understand customer needs.
  • Leverage expertise, best practices, and reference architectures to showcase Snowflake’s Data Platform capabilities.
  • Focus on data ingestion, transformation, and lakehouse workloads.
  • Interact with executives and technical audiences, tailoring communication to the specific audience.
  • Present solutions that address customer challenges and align with their business objectives

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (PTO) and holidays
  • general: Employee stock purchase plan (ESPP)
  • general: Retirement savings plan (401k) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA)
  • general: Health savings accounts (HSA)
  • general: Wellness programs and resources
  • general: Professional development opportunities
  • general: Training and certification programs
  • general: Employee referral program
  • general: Generous parental leave policy
  • general: Paid volunteer time
  • general: Commuter benefits (if applicable)
  • general: Employee discounts on various products and services
  • general: Company-sponsored social events and team-building activities
  • general: Stock Options

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Solution EngineeringData EngineeringRemoteCloudPre-SalesSolution EngineerData Engineering SpecialistSnowflakeCloud Data PlatformData ArchitecturePre-salesSales EngineerSolutions ArchitectETLData WarehouseData LakeSQLPythonSparkCloud ComputingRemote JobTechnical SalesCustomer SolutionsData IntegrationBig DataData LakehouseIcebergDelta LakeParquetData MeshData FabricKafkaFlinkPySparkDatabase ArchitectureCloud ComputingDataEngineeringSales

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Snowflake logo

Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!

Snowflake

Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!

full-timePosted: Nov 3, 2025

Job Description

Solution Engineer - Data Engineering Specialist at Snowflake

Snowflake is revolutionizing the way organizations use data. As a Solution Engineer specializing in Data Engineering, you'll be at the forefront of this transformation, helping our customers unlock the full potential of their data with Snowflake's innovative platform. This role is a unique blend of technical expertise, business acumen, and customer interaction, offering a challenging and rewarding career path.

Role Overview

As a Data Engineering Specialist, you will be a key technical advisor to our sales team, working with both technical and business leaders at our customer organizations. Your primary focus will be on architecting and designing solutions that leverage the Snowflake Cloud Data Platform for data ingestion, transformation, and lakehouse workloads. You'll be involved in all stages of the sales cycle, from initial discovery and demonstrations to proof of concept and implementation. This requires a deep understanding of data engineering principles, cloud technologies, and the ability to communicate complex technical concepts to a variety of audiences.

A Day in the Life

Here's a glimpse into what a typical day might look like:

  • Morning: Start with a team meeting to discuss ongoing sales opportunities and strategize on how to best position Snowflake. You might also spend time researching a new customer prospect, understanding their data landscape, and identifying potential pain points.
  • Mid-day: Conduct a workshop with a customer's data engineering team to understand their current architecture and future needs. Present a compelling demonstration of Snowflake's capabilities, focusing on how it can address their specific challenges.
  • Afternoon: Work on a proof of concept (POC) to demonstrate the value of Snowflake in a real-world scenario. This might involve building data pipelines, optimizing query performance, or showcasing advanced analytics features. Collaborate with Snowflake's product and engineering teams to provide feedback and contribute to product improvements.
  • Evening: Catch up on industry news and trends, staying abreast of the latest developments in data engineering, cloud technologies, and competitive solutions. Prepare for upcoming presentations and customer meetings.

Why Remote?

Snowflake embraces remote work, recognizing the benefits of a distributed workforce. Working remotely as a Solution Engineer offers several advantages:

  • Flexibility: Enjoy a flexible work schedule that allows you to balance your professional and personal life.
  • Autonomy: Take ownership of your work and manage your time effectively.
  • Global Reach: Collaborate with colleagues and customers from around the world.
  • Reduced Commute: Eliminate the daily commute and save time and money.
  • Focus: Create a dedicated workspace that minimizes distractions and maximizes productivity.

Career Path

Snowflake offers a well-defined career path for Solution Engineers, allowing you to grow and advance your skills and responsibilities. Potential career progression includes:

  • Senior Solution Engineer: Lead complex sales engagements, mentor junior team members, and contribute to the development of best practices.
  • Principal Solution Engineer: Serve as a technical expert, providing guidance on the most challenging projects and influencing product strategy.
  • Solution Engineering Manager: Lead a team of Solution Engineers, providing coaching, mentoring, and performance management.
  • Director of Solution Engineering: Oversee a region or vertical, responsible for the overall success of the Solution Engineering organization.

Salary and Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and location. The salary range for this role is typically between $140,000 and $250,000 per year, with the potential for bonuses and stock options. Benefits include:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off (PTO) and holidays
  • Employee stock purchase plan (ESPP)
  • Retirement savings plan (401k) with company match
  • Life insurance and disability coverage
  • Employee assistance program (EAP)
  • Flexible spending accounts (FSA)
  • Health savings accounts (HSA)
  • Wellness programs and resources
  • Professional development opportunities
  • Training and certification programs
  • Employee referral program
  • Generous parental leave policy
  • Paid volunteer time
  • Commuter benefits (if applicable)
  • Employee discounts on various products and services
  • Company-sponsored social events and team-building activities

Innovation Culture

Snowflake is a company built on innovation. We encourage our employees to think outside the box, challenge the status quo, and come up with new and creative solutions. We foster a culture of collaboration, where everyone is encouraged to share their ideas and contribute to the success of the company.

How to Apply

To apply for the Solution Engineer - Data Engineering Specialist position, please visit the Snowflake careers website and submit your resume and cover letter. Be sure to highlight your relevant experience and skills, and explain why you are interested in working for Snowflake.

FAQ

  1. What is Snowflake? Snowflake is a cloud-based data platform that enables organizations to store, process, and analyze vast amounts of data.
  2. What is a Solution Engineer? A Solution Engineer is a technical advisor who works with the sales team to help customers understand the value of Snowflake and design solutions that meet their specific needs.
  3. What skills are required for this role? The ideal candidate will have a strong background in data engineering, cloud technologies, and pre-sales. Excellent communication and presentation skills are also essential.
  4. What is the career path for a Solution Engineer at Snowflake? Snowflake offers a well-defined career path for Solution Engineers, with opportunities to advance to Senior Solution Engineer, Principal Solution Engineer, Solution Engineering Manager, and Director of Solution Engineering.
  5. What is the salary range for this role? The salary range for this role is typically between $140,000 and $250,000 per year, with the potential for bonuses and stock options.
  6. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, retirement savings plan, and more.
  7. What is the company culture like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and customer focus.
  8. Is this a remote position? Yes, this position is remote, allowing you to work from anywhere in the United States.
  9. What is the interview process like? The interview process typically involves a phone screening, technical interview, and final interview with the hiring manager.
  10. How can I prepare for the interview? To prepare for the interview, research Snowflake's products and services, practice your technical skills, and be ready to discuss your experience and qualifications.

Locations

  • Remote, USA (Remote)

Salary

Estimated Salary Rangehigh confidence

140,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Architectureintermediate
  • Data Engineeringintermediate
  • Pre-salesintermediate
  • Sales Engineeringintermediate
  • Solution Engineeringintermediate
  • Solution Architectureintermediate
  • Presentation Skillsintermediate
  • Customer Communicationintermediate
  • Database Technologyintermediate
  • Data Warehouse Technologyintermediate
  • ETLintermediate
  • Analyticsintermediate
  • Cloud Technologiesintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETL Toolsintermediate
  • ELT Data Pipelinesintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming Technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Real-time Use Casesintermediate
  • CDCintermediate
  • Data Lakehouse Architectureintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate

Required Qualifications

  • 10+ years of architecture and data engineering experience within the Enterprise Data space (experience)
  • 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…) (experience)
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos (experience)
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions (experience)
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture (experience)
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric (experience)
  • Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies (experience)
  • Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica (experience)
  • Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) (experience)
  • Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet (experience)
  • Strong architectural expertise in data engineering to confidently present (experience)
  • Bachelor's degree in Computer Science, Engineering, or a related field (preferred) (experience)

Responsibilities

  • Apply multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
  • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
  • Provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform.
  • Strategize on how to navigate winning sales cycles.
  • Provide compelling value-based demonstrations of Snowflake’s capabilities.
  • Support enterprise Proof of Concepts (POCs) to validate solutions.
  • Work directly with the sales team to understand customer needs.
  • Leverage expertise, best practices, and reference architectures to showcase Snowflake’s Data Platform capabilities.
  • Focus on data ingestion, transformation, and lakehouse workloads.
  • Interact with executives and technical audiences, tailoring communication to the specific audience.
  • Present solutions that address customer challenges and align with their business objectives

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (PTO) and holidays
  • general: Employee stock purchase plan (ESPP)
  • general: Retirement savings plan (401k) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA)
  • general: Health savings accounts (HSA)
  • general: Wellness programs and resources
  • general: Professional development opportunities
  • general: Training and certification programs
  • general: Employee referral program
  • general: Generous parental leave policy
  • general: Paid volunteer time
  • general: Commuter benefits (if applicable)
  • general: Employee discounts on various products and services
  • general: Company-sponsored social events and team-building activities
  • general: Stock Options

Target Your Resume for "Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Solution EngineeringData EngineeringRemoteCloudPre-SalesSolution EngineerData Engineering SpecialistSnowflakeCloud Data PlatformData ArchitecturePre-salesSales EngineerSolutions ArchitectETLData WarehouseData LakeSQLPythonSparkCloud ComputingRemote JobTechnical SalesCustomer SolutionsData IntegrationBig DataData LakehouseIcebergDelta LakeParquetData MeshData FabricKafkaFlinkPySparkDatabase ArchitectureCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Solution Engineer - Data Engineering Specialist Careers at Snowflake - Remote | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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