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Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

Snowflake

Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

full-timePosted: Jan 22, 2026

Job Description

Principal Solution Engineer - AI/ML Specialist at Snowflake (Remote - New York City)

Snowflake is revolutionizing the way organizations manage and utilize their data. As a Principal Solution Engineer specializing in AI/ML, you'll be at the forefront of this transformation, helping our Media & Entertainment customers leverage the power of the Snowflake Cloud Data Platform to drive innovation and gain a competitive edge. This role is a unique opportunity to combine your deep technical expertise with your business acumen to shape the future of data-driven decision-making.

Role Overview

As a Principal Solution Engineer, you will be a trusted advisor to our customers, guiding them on their journey to becoming data-driven organizations. You'll work closely with sales teams to understand customer needs, strategize winning sales cycles, deliver compelling demonstrations, and support Proof of Concepts. Your deep understanding of data architecture, AI/ML technologies, and the Snowflake platform will enable you to design and implement solutions that address complex business challenges.

A Day in the Life

Your day might involve:

  • Meeting with a prospective customer to understand their AI/ML requirements and current data infrastructure.
  • Designing a Snowflake-based solution to address their specific needs, incorporating data ingestion, transformation, and lakehouse workloads.
  • Delivering a compelling demonstration of Snowflake's capabilities, showcasing its performance, scalability, and ease of use.
  • Working with a customer's technical team to implement a Proof of Concept, demonstrating the value of the Snowflake platform in their environment.
  • Collaborating with Snowflake's Product Management and Engineering teams to provide feedback on product enhancements and new features.
  • Staying up-to-date on the latest trends in AI/ML and data management, attending industry events, and sharing your knowledge with the team.

Why New York City (Remote)

While this role is remote, being based in the New York City area offers several advantages:

  • Access to a vibrant tech community and a large pool of talented professionals.
  • Proximity to many of Snowflake's Media & Entertainment customers.
  • Opportunities to attend industry events and network with peers.
  • The flexibility to work remotely while still being able to collaborate with colleagues in person when needed.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and development. As a Principal Solution Engineer, you can advance your career in several directions:

  • **Technical Leadership:** Become a Subject Matter Expert (SME) in a specific area of AI/ML or data architecture, providing guidance and mentorship to other Solution Engineers.
  • **Sales Leadership:** Transition into a Sales Engineering Manager role, leading a team of Solution Engineers and driving sales growth.
  • **Product Management:** Leverage your customer insights and technical expertise to influence the direction of Snowflake's product roadmap.
  • **Architecture:** Become a Principal Architect, focusing on designing and implementing large-scale Snowflake solutions for enterprise customers.

Salary & Benefits

Snowflake offers a competitive salary and benefits package, including:

  • Competitive base salary and performance-based bonus
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holiday policy
  • Paid parental leave
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Commuter benefits
  • 401(k) plan with company match
  • Stock options

The salary range for this position is typically between $150,000 and $250,000 per year, depending on experience and location. However, the final offer may vary based on individual qualifications and market conditions.

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and customer focus. We encourage our employees to think outside the box, challenge the status quo, and continuously improve our products and processes. You'll be surrounded by talented and passionate individuals who are dedicated to making a difference in the world of data.

How to Apply

To apply for this position, please submit your resume and cover letter through the Snowflake careers website. Be sure to highlight your experience with AI/ML technologies, data architecture, and the Snowflake platform. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. **What is Snowflake?**

    Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. It offers a scalable, secure, and cost-effective solution for data-driven decision-making.

  2. **What is a Solution Engineer?**

    A Solution Engineer is a technical sales professional who works with customers to understand their business needs and design solutions using the Snowflake platform.

  3. **What AI/ML technologies are relevant to this role?**

    Experience with various AI/ML technologies is beneficial, including but not limited to: machine learning algorithms, deep learning frameworks, natural language processing (NLP), and computer vision.

  4. **What is Snowflake's approach to AI/ML?**

    Snowflake is integrating AI/ML capabilities directly into its platform, allowing customers to build and deploy AI/ML models without having to move their data to other systems.

  5. **What is the Snowflake Data Lakehouse?**

    The Snowflake Data Lakehouse is a unified platform that combines the benefits of a data warehouse and a data lake, allowing organizations to store and analyze both structured and unstructured data in a single location.

  6. **What is Iceberg?**

    Iceberg is an open table format for large analytic datasets. Snowflake supports Iceberg, providing enhanced flexibility and interoperability for data management.

  7. **What are the key skills for a Principal Solution Engineer?**

    Key skills include: data architecture, AI/ML expertise, presentation skills, customer relationship management, and a deep understanding of the Snowflake platform.

  8. **What is Snowflake's culture like?**

    Snowflake fosters a culture of innovation, collaboration, and customer focus. We value teamwork, continuous learning, and a commitment to excellence.

  9. **What are the growth opportunities at Snowflake?**

    Snowflake offers a variety of growth opportunities, including technical leadership roles, sales leadership positions, and opportunities to contribute to product management and architecture.

  10. **What makes Snowflake a great place to work?**

    Snowflake is a great place to work because it offers challenging and rewarding work, a supportive and collaborative environment, and opportunities to make a significant impact on the company's growth.

Locations

  • New York City, NY, US (Remote)

Salary

Estimated Salary Rangehigh confidence

150,000 - 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 Engineeringintermediate
  • AI/MLintermediate
  • Snowflake Architectureintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Data Lakehouse Architectureintermediate
  • Icebergintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • Multi-Cloud Data Architectureintermediate
  • Data Warehouseintermediate
  • Streaming Technologiesintermediate
  • CDC (Change Data Capture)intermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • Deep, hands-on Snowflake architecture experience (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (experience)
  • Ability to connect 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 (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 (experience)
  • Experience working with Iceberg (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
  • Maintain 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 while supporting the Media & Entertainment sector
  • Work 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
  • Support enterprise Proof of Concepts
  • Close business
  • Leverage technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Understand the AI/ML needs of customers

Benefits

  • general: Competitive salary and equity
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off and holiday policy
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: 401(k) plan with company match
  • general: Stock options
  • general: Life insurance
  • general: Disability insurance
  • general: Flexible spending accounts
  • general: Opportunity to work with cutting-edge technology
  • general: Collaborative and innovative work environment
  • general: Opportunity to make a significant impact on the company's growth

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Tags & Categories

Solution EngineeringAI/MLDataRemoteNew YorkSnowflakeSolution EngineerData EngineeringData WarehouseData LakeData LakehouseCloud ComputingData ArchitectureMachine LearningDeep LearningSQLPythonSparkHadoopETLData IntegrationNew York CityRemote WorkMedia & EntertainmentCloud Data PlatformData ScienceData AnalyticsBig DataIcebergFivetranMatillionInformaticaKafkaFlinkPySparkCloud ComputingDataEngineeringSales

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Snowflake logo

Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

Snowflake

Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

full-timePosted: Jan 22, 2026

Job Description

Principal Solution Engineer - AI/ML Specialist at Snowflake (Remote - New York City)

Snowflake is revolutionizing the way organizations manage and utilize their data. As a Principal Solution Engineer specializing in AI/ML, you'll be at the forefront of this transformation, helping our Media & Entertainment customers leverage the power of the Snowflake Cloud Data Platform to drive innovation and gain a competitive edge. This role is a unique opportunity to combine your deep technical expertise with your business acumen to shape the future of data-driven decision-making.

Role Overview

As a Principal Solution Engineer, you will be a trusted advisor to our customers, guiding them on their journey to becoming data-driven organizations. You'll work closely with sales teams to understand customer needs, strategize winning sales cycles, deliver compelling demonstrations, and support Proof of Concepts. Your deep understanding of data architecture, AI/ML technologies, and the Snowflake platform will enable you to design and implement solutions that address complex business challenges.

A Day in the Life

Your day might involve:

  • Meeting with a prospective customer to understand their AI/ML requirements and current data infrastructure.
  • Designing a Snowflake-based solution to address their specific needs, incorporating data ingestion, transformation, and lakehouse workloads.
  • Delivering a compelling demonstration of Snowflake's capabilities, showcasing its performance, scalability, and ease of use.
  • Working with a customer's technical team to implement a Proof of Concept, demonstrating the value of the Snowflake platform in their environment.
  • Collaborating with Snowflake's Product Management and Engineering teams to provide feedback on product enhancements and new features.
  • Staying up-to-date on the latest trends in AI/ML and data management, attending industry events, and sharing your knowledge with the team.

Why New York City (Remote)

While this role is remote, being based in the New York City area offers several advantages:

  • Access to a vibrant tech community and a large pool of talented professionals.
  • Proximity to many of Snowflake's Media & Entertainment customers.
  • Opportunities to attend industry events and network with peers.
  • The flexibility to work remotely while still being able to collaborate with colleagues in person when needed.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and development. As a Principal Solution Engineer, you can advance your career in several directions:

  • **Technical Leadership:** Become a Subject Matter Expert (SME) in a specific area of AI/ML or data architecture, providing guidance and mentorship to other Solution Engineers.
  • **Sales Leadership:** Transition into a Sales Engineering Manager role, leading a team of Solution Engineers and driving sales growth.
  • **Product Management:** Leverage your customer insights and technical expertise to influence the direction of Snowflake's product roadmap.
  • **Architecture:** Become a Principal Architect, focusing on designing and implementing large-scale Snowflake solutions for enterprise customers.

Salary & Benefits

Snowflake offers a competitive salary and benefits package, including:

  • Competitive base salary and performance-based bonus
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holiday policy
  • Paid parental leave
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Commuter benefits
  • 401(k) plan with company match
  • Stock options

The salary range for this position is typically between $150,000 and $250,000 per year, depending on experience and location. However, the final offer may vary based on individual qualifications and market conditions.

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and customer focus. We encourage our employees to think outside the box, challenge the status quo, and continuously improve our products and processes. You'll be surrounded by talented and passionate individuals who are dedicated to making a difference in the world of data.

How to Apply

To apply for this position, please submit your resume and cover letter through the Snowflake careers website. Be sure to highlight your experience with AI/ML technologies, data architecture, and the Snowflake platform. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. **What is Snowflake?**

    Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data. It offers a scalable, secure, and cost-effective solution for data-driven decision-making.

  2. **What is a Solution Engineer?**

    A Solution Engineer is a technical sales professional who works with customers to understand their business needs and design solutions using the Snowflake platform.

  3. **What AI/ML technologies are relevant to this role?**

    Experience with various AI/ML technologies is beneficial, including but not limited to: machine learning algorithms, deep learning frameworks, natural language processing (NLP), and computer vision.

  4. **What is Snowflake's approach to AI/ML?**

    Snowflake is integrating AI/ML capabilities directly into its platform, allowing customers to build and deploy AI/ML models without having to move their data to other systems.

  5. **What is the Snowflake Data Lakehouse?**

    The Snowflake Data Lakehouse is a unified platform that combines the benefits of a data warehouse and a data lake, allowing organizations to store and analyze both structured and unstructured data in a single location.

  6. **What is Iceberg?**

    Iceberg is an open table format for large analytic datasets. Snowflake supports Iceberg, providing enhanced flexibility and interoperability for data management.

  7. **What are the key skills for a Principal Solution Engineer?**

    Key skills include: data architecture, AI/ML expertise, presentation skills, customer relationship management, and a deep understanding of the Snowflake platform.

  8. **What is Snowflake's culture like?**

    Snowflake fosters a culture of innovation, collaboration, and customer focus. We value teamwork, continuous learning, and a commitment to excellence.

  9. **What are the growth opportunities at Snowflake?**

    Snowflake offers a variety of growth opportunities, including technical leadership roles, sales leadership positions, and opportunities to contribute to product management and architecture.

  10. **What makes Snowflake a great place to work?**

    Snowflake is a great place to work because it offers challenging and rewarding work, a supportive and collaborative environment, and opportunities to make a significant impact on the company's growth.

Locations

  • New York City, NY, US (Remote)

Salary

Estimated Salary Rangehigh confidence

150,000 - 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 Engineeringintermediate
  • AI/MLintermediate
  • Snowflake Architectureintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Integrationintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Data Lakehouse Architectureintermediate
  • Icebergintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • Multi-Cloud Data Architectureintermediate
  • Data Warehouseintermediate
  • Streaming Technologiesintermediate
  • CDC (Change Data Capture)intermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • Deep, hands-on Snowflake architecture experience (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (experience)
  • Ability to connect 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 (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 (experience)
  • Experience working with Iceberg (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
  • Maintain 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 while supporting the Media & Entertainment sector
  • Work 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
  • Support enterprise Proof of Concepts
  • Close business
  • Leverage technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Understand the AI/ML needs of customers

Benefits

  • general: Competitive salary and equity
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off and holiday policy
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: 401(k) plan with company match
  • general: Stock options
  • general: Life insurance
  • general: Disability insurance
  • general: Flexible spending accounts
  • general: Opportunity to work with cutting-edge technology
  • general: Collaborative and innovative work environment
  • general: Opportunity to make a significant impact on the company's growth

Target Your Resume for "Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!. Takes only 15 seconds!

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

Check Your ATS Score for "Principal Solution Engineer Careers at Snowflake - New York City, NY | 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 EngineeringAI/MLDataRemoteNew YorkSnowflakeSolution EngineerData EngineeringData WarehouseData LakeData LakehouseCloud ComputingData ArchitectureMachine LearningDeep LearningSQLPythonSparkHadoopETLData IntegrationNew York CityRemote WorkMedia & EntertainmentCloud Data PlatformData ScienceData AnalyticsBig DataIcebergFivetranMatillionInformaticaKafkaFlinkPySparkCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Principal Solution Engineer Careers at Snowflake - New York City, NY | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.