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High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!

Snowflake

High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!

full-timePosted: Jan 31, 2026

Job Description

Senior Solution Engineer - AI/ML Specialist (Remote - Chicago, IL)

Join Snowflake, the leading cloud data platform, and empower enterprises to unlock the full potential of their data. We are seeking a highly skilled and motivated Senior Solution Engineer with a specialization in AI/ML to join our dynamic Solutions Engineering team. In this role, you will be a key technical advisor, working with both technical and business executives in the Manufacturing sector to design and implement cutting-edge data solutions using Snowflake's innovative Cloud Data Platform.

Role Overview

As a Senior Solution Engineer specializing in AI/ML, you will be at the forefront of Snowflake's mission to revolutionize data management and analytics. You will work directly with our sales team to understand the AI/ML needs of our customers, strategize on winning sales cycles, deliver compelling value-based demonstrations, and support enterprise Proof of Concepts (POCs). Your deep understanding of data architecture, combined with your expertise in AI/ML technologies, will be crucial in helping customers leverage Snowflake to build robust and scalable data solutions.

This role requires a unique blend of technical acumen and business savvy. You will be comfortable interacting with C-level executives, discussing strategic business initiatives, and diving deep into technical discussions with data scientists and engineers. Your ability to translate complex technical concepts into clear and concise business value will be essential to your success.

A Day in the Life

Each day as a Senior Solution Engineer at Snowflake will bring new challenges and opportunities. Here’s a glimpse into what you can expect:

  • Customer Engagement: Meet with prospective and existing customers to understand their AI/ML needs, data challenges, and business goals. Conduct workshops and presentations to showcase the capabilities of Snowflake and how it can address their specific requirements.
  • Solution Design: Architect and design data solutions using Snowflake, leveraging its features for data ingestion, transformation, and lakehouse workloads. Develop reference architectures and best practices to guide customers in implementing scalable and efficient data pipelines.
  • Demonstrations and POCs: Create and deliver compelling value-based demonstrations of Snowflake's capabilities, tailored to the specific needs of each customer. Support enterprise Proof of Concepts (POCs) to showcase the platform's performance, scalability, and ease of use.
  • Technical Guidance: Provide expert technical guidance to customers on AI/ML technologies, data architecture, and best practices for using Snowflake. Assist customers with data migration, integration, and optimization.
  • Collaboration: Collaborate with internal teams, including sales, product management, engineering, and marketing, to continuously improve Snowflake's products and go-to-market strategy. Share your insights and experiences from customer engagements to help shape the future of Snowflake.
  • Industry Research: Stay up-to-date on the latest trends and technologies in the data management and AI/ML space. Research competitive offerings and develop strategies to position Snowflake effectively.

Why Chicago, IL? (Remote Option)

This position is based in Chicago, Illinois, a vibrant city with a thriving tech scene. Chicago offers a unique blend of cultural attractions, world-class restaurants, and affordable living. The city is home to a growing number of tech companies and startups, making it an ideal location for professionals in the data and AI/ML fields.

While this position is based in Chicago, Snowflake offers a remote work option, providing flexibility and work-life balance. You can enjoy the benefits of living in Chicago while working from the comfort of your own home.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and advancement. As a Senior Solution Engineer, you will have the opportunity to expand your technical skills, develop your leadership abilities, and advance your career within the company. Potential career paths include:

  • Principal Solution Engineer: Lead complex customer engagements and provide technical leadership to a team of Solution Engineers.
  • Solutions Architect: Focus on designing and implementing large-scale data solutions for strategic customers.
  • Technical Account Manager: Build and maintain strong relationships with key customers, providing technical support and guidance.
  • Product Manager: Contribute to the development of Snowflake's products by providing customer feedback and market insights.

Salary & Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this position is $140,000 to $220,000 per year. Actual salary may vary based on factors such as location, skills, and experience.

In addition to a competitive salary, Snowflake offers a comprehensive benefits package, including:

  • Health Insurance: Medical, dental, and vision insurance plans.
  • Paid Time Off: Generous paid time off and holidays.
  • Retirement Plan: 401(k) retirement plan with company match.
  • Stock Options: Employee stock purchase plan (ESPP).
  • Professional Development: Opportunities for professional development and training.
  • Wellness Programs: Employee assistance program (EAP) and wellness resources.

Innovation Culture

Snowflake is a company built on innovation. We are constantly pushing the boundaries of what's possible with data management and analytics. We foster a culture of creativity, collaboration, and continuous learning. You will have the opportunity to work with some of the brightest minds in the industry and contribute to cutting-edge projects that are shaping the future of data.

How to Apply

If you are a passionate and driven individual with a strong background in data engineering and AI/ML, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is Snowflake? Snowflake is a cloud-based data warehousing and analytics 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 expert who works with sales teams to understand customer needs and design solutions using Snowflake's platform.
  3. What skills are required for this role? The key skills required for this role include data engineering, AI/ML technologies, cloud data platforms, data architecture, SQL, Python, and strong presentation skills.
  4. What is the career path for this role? Potential career paths include Principal Solution Engineer, Solutions Architect, Technical Account Manager, and Product Manager.
  5. What is the salary range for this role? The estimated salary range for this role is $140,000 to $220,000 per year.
  6. What are the benefits of working at Snowflake? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, a 401(k) retirement plan, and employee stock options.
  7. What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and continuous learning.
  8. Is this a remote position? While based in Chicago, this position offers a remote work option.
  9. What is the interview process like? The interview process typically involves a phone screening, technical interviews, and a final interview with hiring managers.
  10. How can I learn more about Snowflake? You can learn more about Snowflake by visiting our website, reading our blog, and attending our events.

Locations

  • Chicago, IL, US (Remote)

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Snowflake Architectureintermediate
  • AI/ML Technologiesintermediate
  • Data Engineeringintermediate
  • Cloud Data Platformsintermediate
  • Data Architectureintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Data Lakehouseintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming Technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • CDCintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate
  • Public Speakingintermediate
  • Technical Presentationsintermediate
  • Customer Relationship Managementintermediate
  • Sales Cycle Managementintermediate
  • Proof of Concept (POC) Developmentintermediate
  • Value-Based Demonstrationsintermediate
  • Competitive Analysisintermediate
  • Product Management Collaborationintermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • Deep, hands-on Snowflake architecture experience preferred (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (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 (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)
  • Experience with multiple cloud environments (AWS, Azure, GCP) (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 AI/ML technical guidance to customers and internal teams
  • Work with sales teams to understand customer AI/ML needs and strategize on winning sales cycles
  • Develop and deliver compelling value-based demonstrations of Snowflake’s capabilities
  • Support enterprise Proof of Concepts (POCs) to showcase Snowflake's value
  • Assist in closing business by providing technical expertise and support
  • Leverage technical expertise, best practices, and reference architectures to highlight Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Effectively communicate with both business and technical audiences, including executives and technical professionals
  • Design and architect the Snowflake Cloud Data Platform as a critical component of customer's enterprise data architecture and overall ecosystem

Benefits

  • general: Competitive salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: Generous paid time off and holidays
  • general: Paid parental leave for eligible employees
  • general: 401(k) retirement plan with company match
  • general: Employee stock purchase plan (ESPP)
  • general: Professional development and training opportunities
  • general: Employee assistance program (EAP)
  • general: Wellness programs and resources
  • general: Flexible spending accounts (FSAs)
  • general: Life insurance and disability coverage
  • general: Employee referral program
  • general: Company-sponsored events and activities
  • general: Opportunity to work with cutting-edge technology
  • general: Collaborative and innovative work environment
  • general: Career growth and advancement opportunities

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Tags & Categories

Solution EngineerAI/MLCloudDataSnowflakeChicagoRemoteSenior Solution EngineerCloud Data PlatformData EngineeringData ArchitectureData WarehouseData LakehouseETLELTSQLPythonSparkBig DataData IntegrationCloud ComputingData AnalyticsMachine LearningManufacturingTechnical SalesPre-SalesCustomer SuccessData MigrationCloud ComputingDataEngineeringSales

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High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!

Snowflake

High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!

full-timePosted: Jan 31, 2026

Job Description

Senior Solution Engineer - AI/ML Specialist (Remote - Chicago, IL)

Join Snowflake, the leading cloud data platform, and empower enterprises to unlock the full potential of their data. We are seeking a highly skilled and motivated Senior Solution Engineer with a specialization in AI/ML to join our dynamic Solutions Engineering team. In this role, you will be a key technical advisor, working with both technical and business executives in the Manufacturing sector to design and implement cutting-edge data solutions using Snowflake's innovative Cloud Data Platform.

Role Overview

As a Senior Solution Engineer specializing in AI/ML, you will be at the forefront of Snowflake's mission to revolutionize data management and analytics. You will work directly with our sales team to understand the AI/ML needs of our customers, strategize on winning sales cycles, deliver compelling value-based demonstrations, and support enterprise Proof of Concepts (POCs). Your deep understanding of data architecture, combined with your expertise in AI/ML technologies, will be crucial in helping customers leverage Snowflake to build robust and scalable data solutions.

This role requires a unique blend of technical acumen and business savvy. You will be comfortable interacting with C-level executives, discussing strategic business initiatives, and diving deep into technical discussions with data scientists and engineers. Your ability to translate complex technical concepts into clear and concise business value will be essential to your success.

A Day in the Life

Each day as a Senior Solution Engineer at Snowflake will bring new challenges and opportunities. Here’s a glimpse into what you can expect:

  • Customer Engagement: Meet with prospective and existing customers to understand their AI/ML needs, data challenges, and business goals. Conduct workshops and presentations to showcase the capabilities of Snowflake and how it can address their specific requirements.
  • Solution Design: Architect and design data solutions using Snowflake, leveraging its features for data ingestion, transformation, and lakehouse workloads. Develop reference architectures and best practices to guide customers in implementing scalable and efficient data pipelines.
  • Demonstrations and POCs: Create and deliver compelling value-based demonstrations of Snowflake's capabilities, tailored to the specific needs of each customer. Support enterprise Proof of Concepts (POCs) to showcase the platform's performance, scalability, and ease of use.
  • Technical Guidance: Provide expert technical guidance to customers on AI/ML technologies, data architecture, and best practices for using Snowflake. Assist customers with data migration, integration, and optimization.
  • Collaboration: Collaborate with internal teams, including sales, product management, engineering, and marketing, to continuously improve Snowflake's products and go-to-market strategy. Share your insights and experiences from customer engagements to help shape the future of Snowflake.
  • Industry Research: Stay up-to-date on the latest trends and technologies in the data management and AI/ML space. Research competitive offerings and develop strategies to position Snowflake effectively.

Why Chicago, IL? (Remote Option)

This position is based in Chicago, Illinois, a vibrant city with a thriving tech scene. Chicago offers a unique blend of cultural attractions, world-class restaurants, and affordable living. The city is home to a growing number of tech companies and startups, making it an ideal location for professionals in the data and AI/ML fields.

While this position is based in Chicago, Snowflake offers a remote work option, providing flexibility and work-life balance. You can enjoy the benefits of living in Chicago while working from the comfort of your own home.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and advancement. As a Senior Solution Engineer, you will have the opportunity to expand your technical skills, develop your leadership abilities, and advance your career within the company. Potential career paths include:

  • Principal Solution Engineer: Lead complex customer engagements and provide technical leadership to a team of Solution Engineers.
  • Solutions Architect: Focus on designing and implementing large-scale data solutions for strategic customers.
  • Technical Account Manager: Build and maintain strong relationships with key customers, providing technical support and guidance.
  • Product Manager: Contribute to the development of Snowflake's products by providing customer feedback and market insights.

Salary & Benefits

Snowflake offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this position is $140,000 to $220,000 per year. Actual salary may vary based on factors such as location, skills, and experience.

In addition to a competitive salary, Snowflake offers a comprehensive benefits package, including:

  • Health Insurance: Medical, dental, and vision insurance plans.
  • Paid Time Off: Generous paid time off and holidays.
  • Retirement Plan: 401(k) retirement plan with company match.
  • Stock Options: Employee stock purchase plan (ESPP).
  • Professional Development: Opportunities for professional development and training.
  • Wellness Programs: Employee assistance program (EAP) and wellness resources.

Innovation Culture

Snowflake is a company built on innovation. We are constantly pushing the boundaries of what's possible with data management and analytics. We foster a culture of creativity, collaboration, and continuous learning. You will have the opportunity to work with some of the brightest minds in the industry and contribute to cutting-edge projects that are shaping the future of data.

How to Apply

If you are a passionate and driven individual with a strong background in data engineering and AI/ML, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is Snowflake? Snowflake is a cloud-based data warehousing and analytics 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 expert who works with sales teams to understand customer needs and design solutions using Snowflake's platform.
  3. What skills are required for this role? The key skills required for this role include data engineering, AI/ML technologies, cloud data platforms, data architecture, SQL, Python, and strong presentation skills.
  4. What is the career path for this role? Potential career paths include Principal Solution Engineer, Solutions Architect, Technical Account Manager, and Product Manager.
  5. What is the salary range for this role? The estimated salary range for this role is $140,000 to $220,000 per year.
  6. What are the benefits of working at Snowflake? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, a 401(k) retirement plan, and employee stock options.
  7. What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and continuous learning.
  8. Is this a remote position? While based in Chicago, this position offers a remote work option.
  9. What is the interview process like? The interview process typically involves a phone screening, technical interviews, and a final interview with hiring managers.
  10. How can I learn more about Snowflake? You can learn more about Snowflake by visiting our website, reading our blog, and attending our events.

Locations

  • Chicago, IL, US (Remote)

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Snowflake Architectureintermediate
  • AI/ML Technologiesintermediate
  • Data Engineeringintermediate
  • Cloud Data Platformsintermediate
  • Data Architectureintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Data Lakehouseintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Streaming Technologiesintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • CDCintermediate
  • Icebergintermediate
  • Deltaintermediate
  • Parquetintermediate
  • Public Speakingintermediate
  • Technical Presentationsintermediate
  • Customer Relationship Managementintermediate
  • Sales Cycle Managementintermediate
  • Proof of Concept (POC) Developmentintermediate
  • Value-Based Demonstrationsintermediate
  • Competitive Analysisintermediate
  • Product Management Collaborationintermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • Deep, hands-on Snowflake architecture experience preferred (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (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 (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)
  • Experience with multiple cloud environments (AWS, Azure, GCP) (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 AI/ML technical guidance to customers and internal teams
  • Work with sales teams to understand customer AI/ML needs and strategize on winning sales cycles
  • Develop and deliver compelling value-based demonstrations of Snowflake’s capabilities
  • Support enterprise Proof of Concepts (POCs) to showcase Snowflake's value
  • Assist in closing business by providing technical expertise and support
  • Leverage technical expertise, best practices, and reference architectures to highlight Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Effectively communicate with both business and technical audiences, including executives and technical professionals
  • Design and architect the Snowflake Cloud Data Platform as a critical component of customer's enterprise data architecture and overall ecosystem

Benefits

  • general: Competitive salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: Generous paid time off and holidays
  • general: Paid parental leave for eligible employees
  • general: 401(k) retirement plan with company match
  • general: Employee stock purchase plan (ESPP)
  • general: Professional development and training opportunities
  • general: Employee assistance program (EAP)
  • general: Wellness programs and resources
  • general: Flexible spending accounts (FSAs)
  • general: Life insurance and disability coverage
  • general: Employee referral program
  • general: Company-sponsored events and activities
  • general: Opportunity to work with cutting-edge technology
  • general: Collaborative and innovative work environment
  • general: Career growth and advancement opportunities

Target Your Resume for "High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now!. Takes only 15 seconds!

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

Check Your ATS Score for "High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | 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 EngineerAI/MLCloudDataSnowflakeChicagoRemoteSenior Solution EngineerCloud Data PlatformData EngineeringData ArchitectureData WarehouseData LakehouseETLELTSQLPythonSparkBig DataData IntegrationCloud ComputingData AnalyticsMachine LearningManufacturingTechnical SalesPre-SalesCustomer SuccessData MigrationCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for High-CTR: Senior Solution Engineer Careers at Snowflake - Chicago, IL | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

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