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Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!

Snowflake

Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!

full-timePosted: Jan 9, 2026

Job Description

Senior Manager, Data Engineering - Applied Field Engineering at Snowflake

Role Overview

As a Senior Manager, Data Engineering - Applied Field Engineering at Snowflake, you will lead a team of highly skilled Data Engineering Specialists, driving revenue growth and ensuring customer success. This role requires a blend of technical expertise, leadership skills, and a strong business acumen. You will be responsible for guiding your team in providing strategic technical leadership to customers, architecting the Snowflake Cloud Data Platform as a critical component of their enterprise data strategy. Your primary focus will be to deeply understand customer needs, strategize winning sales cycles, provide compelling value-based demonstrations, and support enterprise Proof of Concepts.

Day in the Life

A typical day in this role involves a variety of activities:

  • Team Leadership: Conducting team meetings, providing guidance and coaching to team members, and monitoring progress towards goals.
  • Customer Engagement: Meeting with customers to understand their business requirements and technical challenges, and presenting Snowflake solutions.
  • Sales Strategy: Collaborating with sales teams to develop strategies for winning sales cycles and driving revenue growth.
  • Technical Demonstrations: Delivering compelling value-based demonstrations of the Snowflake platform.
  • Proof of Concept (POC) Support: Supporting customers in conducting POCs to validate the value of Snowflake.
  • Product Feedback: Gathering feedback from customers and providing it to the product management team.
  • Industry Research: Staying up-to-date on the latest industry trends and technologies.

Why New York City?

New York City is a global hub for technology and finance, making it an ideal location for a Senior Manager, Data Engineering. The city offers a diverse and vibrant business environment, with numerous opportunities to connect with customers, partners, and industry experts. Snowflake's presence in New York City provides access to a rich talent pool and a thriving innovation ecosystem.

Career Path

This role offers a clear path for career advancement within Snowflake. You can progress to roles such as Director, Data Engineering, or Vice President, Solution Engineering. Snowflake is committed to providing employees with opportunities for professional growth and development.

Salary & Benefits

Snowflake offers a competitive salary and benefits package for this role. The salary range for the Senior Manager, Data Engineering - Applied Field Engineering position in New York City is typically between $180,000 and $300,000 per year, depending on experience and qualifications. The benefits package includes:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off and holidays
  • Employee stock purchase plan
  • 401(k) with company match
  • Professional development opportunities
  • Wellness programs
  • Flexible spending accounts
  • Life insurance and disability coverage
  • Employee assistance program
  • Commuter benefits
  • Generous parental leave policies

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and impact. The company is committed to empowering employees to achieve their full potential and make a meaningful contribution to the business. Snowflake encourages employees to think big, move fast, and take technology and careers to the next level.

How to Apply

If you are a passionate and experienced data engineering leader, we encourage you to apply for the Senior Manager, Data Engineering - Applied Field Engineering position at Snowflake. To apply, please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is the Snowflake Data Cloud?

    Snowflake's Data Cloud is a global network where thousands of organizations unlock the potential of their data. It allows seamless data collaboration, eliminates silos, and provides access to a wide range of data services and applications.

  2. What is Applied Field Engineering (AFE)?

    The Applied Field Engineering team at Snowflake is a group of highly skilled technical specialists who work closely with sales teams to provide technical guidance and support to customers. They help customers architect and implement Snowflake solutions to meet their specific business needs.

  3. What are the key responsibilities of a Senior Manager, Data Engineering - AFE?

    Key responsibilities include leading and managing a team of Data Engineering Specialists, providing technical leadership to customers, collaborating with sales teams, and contributing to the strategic direction of the AFE Data Engineering function.

  4. What qualifications are required for this role?

    The qualifications include 10+ years of data engineering experience, 5+ years of team management experience, pre-sales experience, and a proven track record of achieving revenue targets.

  5. What skills are important for success in this role?

    Important skills include data architecture, data engineering, pre-sales, team management, cloud data platform expertise, and strong communication and presentation skills.

  6. What is the career path for this role?

    The career path includes progression to roles such as Director, Data Engineering, or Vice President, Solution Engineering.

  7. What is the salary range for this role?

    The salary range is typically between $180,000 and $300,000 per year, depending on experience and qualifications.

  8. What benefits does Snowflake offer?

    Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, and 401(k) with company match.

  9. What is the company culture like at Snowflake?

    Snowflake fosters a culture of innovation, collaboration, and impact. The company is committed to empowering employees to achieve their full potential.

  10. How do I apply for this role?

    To apply, please submit your resume and cover letter through the Snowflake careers website.

Locations

  • New York, NY, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 300,000 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
  • Solution Engineeringintermediate
  • Team Managementintermediate
  • Cloud Data Platformintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Lakehouse Workloadsintermediate
  • Sales Strategyintermediate
  • Customer Engagementintermediate
  • Product Demonstrationintermediate
  • Proof of Conceptintermediate
  • Executive Communicationintermediate
  • Technical Leadershipintermediate
  • Revenue Growthintermediate
  • Competitive Analysisintermediate
  • Product Roadmap Influenceintermediate

Required Qualifications

  • 10+ years of architecture and data engineering experience within the Enterprise Data space. (experience)
  • 5+ years of experience in a team management role, with a focus on pre-sales or technical field teams. (experience)
  • 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…). (experience)
  • Proven track record of achieving or exceeding team revenue targets. (experience)
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. (experience)
  • Ability to deeply connect a customer’s specific business problems with Snowflake solutions. (experience)
  • Deep understanding of data warehousing, data lakes, and modern data architectures. (experience)
  • Experience with cloud platforms (AWS, Azure, GCP) and related data services. (experience)
  • Strong understanding of data governance, security, and compliance requirements. (experience)
  • Excellent communication, interpersonal, and collaboration skills. (experience)
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). (experience)
  • Experience with Snowflake Data Platform is a plus. (experience)
  • Familiarity with various data integration and ETL tools. (experience)
  • Knowledge of data modeling techniques and best practices. (experience)
  • Experience in a customer-facing role with direct interaction and influencing skills. (experience)

Responsibilities

  • Lead, manage, mentor, and coach a team of Data Engineering Specialists to exceed individual and team revenue goals and drive high-impact customer engagements.
  • Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners, serving as a key technical and thought leader.
  • Collaborate strategically with Regional Sales Leaders and Executive Account Management to target and accelerate high-value opportunities that require deep data engineering and data lake expertise.
  • Work hands-on with prospects and customers as a player-coach to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
  • Contribute to the strategic direction of the AFE Data Engineering function, driving best practices, team enablement, and providing product feedback to drive future innovation.
  • 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, emphasizing the business value and ROI.
  • Influence the product roadmap, refine go-to-market strategies, and align field efforts with the product vision and customer success through close collaboration with Product Management, Engineering, Sales Leaders, and Marketing.
  • Develop and deliver training programs to enhance the team's technical and sales skills.
  • Conduct performance reviews and provide constructive feedback to team members.
  • Recruit, interview, and hire top talent to build a high-performing team.
  • Manage team budget and resources effectively.
  • Stay abreast of the latest industry trends and technologies and share knowledge with the team.

Benefits

  • general: Competitive salary and benefits package.
  • general: Comprehensive health insurance (medical, dental, vision).
  • general: Paid time off and holidays.
  • general: Employee stock purchase plan.
  • general: 401(k) with company match.
  • general: Professional development opportunities.
  • general: Wellness programs.
  • general: Flexible spending accounts.
  • general: Life insurance and disability coverage.
  • general: Employee assistance program.
  • general: Commuter benefits.
  • general: Generous parental leave policies.
  • general: Opportunities for career advancement.
  • general: Collaborative and innovative work environment.
  • general: Employee resource groups.
  • general: Stocked kitchen with snacks and drinks.

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Tags & Categories

Data EngineeringCloudManagementNew YorkFull-timeData ArchitectureCloud Data PlatformSnowflakeData CloudApplied Field EngineeringPre-salesSolution EngineeringTeam ManagementNew York CityNYC JobsData Engineering JobsCloud ComputingData WarehousingData LakesETLData IntegrationSales EngineeringSolutions ArchitectTechnical LeadershipCustomer EngagementProduct DemonstrationProof of ConceptRevenue GrowthCareer OpportunitySnowflake CareersData InnovationCloud ComputingDataEngineeringSales

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Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!

Snowflake

Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!

full-timePosted: Jan 9, 2026

Job Description

Senior Manager, Data Engineering - Applied Field Engineering at Snowflake

Role Overview

As a Senior Manager, Data Engineering - Applied Field Engineering at Snowflake, you will lead a team of highly skilled Data Engineering Specialists, driving revenue growth and ensuring customer success. This role requires a blend of technical expertise, leadership skills, and a strong business acumen. You will be responsible for guiding your team in providing strategic technical leadership to customers, architecting the Snowflake Cloud Data Platform as a critical component of their enterprise data strategy. Your primary focus will be to deeply understand customer needs, strategize winning sales cycles, provide compelling value-based demonstrations, and support enterprise Proof of Concepts.

Day in the Life

A typical day in this role involves a variety of activities:

  • Team Leadership: Conducting team meetings, providing guidance and coaching to team members, and monitoring progress towards goals.
  • Customer Engagement: Meeting with customers to understand their business requirements and technical challenges, and presenting Snowflake solutions.
  • Sales Strategy: Collaborating with sales teams to develop strategies for winning sales cycles and driving revenue growth.
  • Technical Demonstrations: Delivering compelling value-based demonstrations of the Snowflake platform.
  • Proof of Concept (POC) Support: Supporting customers in conducting POCs to validate the value of Snowflake.
  • Product Feedback: Gathering feedback from customers and providing it to the product management team.
  • Industry Research: Staying up-to-date on the latest industry trends and technologies.

Why New York City?

New York City is a global hub for technology and finance, making it an ideal location for a Senior Manager, Data Engineering. The city offers a diverse and vibrant business environment, with numerous opportunities to connect with customers, partners, and industry experts. Snowflake's presence in New York City provides access to a rich talent pool and a thriving innovation ecosystem.

Career Path

This role offers a clear path for career advancement within Snowflake. You can progress to roles such as Director, Data Engineering, or Vice President, Solution Engineering. Snowflake is committed to providing employees with opportunities for professional growth and development.

Salary & Benefits

Snowflake offers a competitive salary and benefits package for this role. The salary range for the Senior Manager, Data Engineering - Applied Field Engineering position in New York City is typically between $180,000 and $300,000 per year, depending on experience and qualifications. The benefits package includes:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off and holidays
  • Employee stock purchase plan
  • 401(k) with company match
  • Professional development opportunities
  • Wellness programs
  • Flexible spending accounts
  • Life insurance and disability coverage
  • Employee assistance program
  • Commuter benefits
  • Generous parental leave policies

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and impact. The company is committed to empowering employees to achieve their full potential and make a meaningful contribution to the business. Snowflake encourages employees to think big, move fast, and take technology and careers to the next level.

How to Apply

If you are a passionate and experienced data engineering leader, we encourage you to apply for the Senior Manager, Data Engineering - Applied Field Engineering position at Snowflake. To apply, please submit your resume and cover letter through the Snowflake careers website.

Frequently Asked Questions (FAQ)

  1. What is the Snowflake Data Cloud?

    Snowflake's Data Cloud is a global network where thousands of organizations unlock the potential of their data. It allows seamless data collaboration, eliminates silos, and provides access to a wide range of data services and applications.

  2. What is Applied Field Engineering (AFE)?

    The Applied Field Engineering team at Snowflake is a group of highly skilled technical specialists who work closely with sales teams to provide technical guidance and support to customers. They help customers architect and implement Snowflake solutions to meet their specific business needs.

  3. What are the key responsibilities of a Senior Manager, Data Engineering - AFE?

    Key responsibilities include leading and managing a team of Data Engineering Specialists, providing technical leadership to customers, collaborating with sales teams, and contributing to the strategic direction of the AFE Data Engineering function.

  4. What qualifications are required for this role?

    The qualifications include 10+ years of data engineering experience, 5+ years of team management experience, pre-sales experience, and a proven track record of achieving revenue targets.

  5. What skills are important for success in this role?

    Important skills include data architecture, data engineering, pre-sales, team management, cloud data platform expertise, and strong communication and presentation skills.

  6. What is the career path for this role?

    The career path includes progression to roles such as Director, Data Engineering, or Vice President, Solution Engineering.

  7. What is the salary range for this role?

    The salary range is typically between $180,000 and $300,000 per year, depending on experience and qualifications.

  8. What benefits does Snowflake offer?

    Snowflake offers a comprehensive benefits package, including health insurance, paid time off, employee stock purchase plan, and 401(k) with company match.

  9. What is the company culture like at Snowflake?

    Snowflake fosters a culture of innovation, collaboration, and impact. The company is committed to empowering employees to achieve their full potential.

  10. How do I apply for this role?

    To apply, please submit your resume and cover letter through the Snowflake careers website.

Locations

  • New York, NY, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 300,000 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
  • Solution Engineeringintermediate
  • Team Managementintermediate
  • Cloud Data Platformintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Lakehouse Workloadsintermediate
  • Sales Strategyintermediate
  • Customer Engagementintermediate
  • Product Demonstrationintermediate
  • Proof of Conceptintermediate
  • Executive Communicationintermediate
  • Technical Leadershipintermediate
  • Revenue Growthintermediate
  • Competitive Analysisintermediate
  • Product Roadmap Influenceintermediate

Required Qualifications

  • 10+ years of architecture and data engineering experience within the Enterprise Data space. (experience)
  • 5+ years of experience in a team management role, with a focus on pre-sales or technical field teams. (experience)
  • 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…). (experience)
  • Proven track record of achieving or exceeding team revenue targets. (experience)
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. (experience)
  • Ability to deeply connect a customer’s specific business problems with Snowflake solutions. (experience)
  • Deep understanding of data warehousing, data lakes, and modern data architectures. (experience)
  • Experience with cloud platforms (AWS, Azure, GCP) and related data services. (experience)
  • Strong understanding of data governance, security, and compliance requirements. (experience)
  • Excellent communication, interpersonal, and collaboration skills. (experience)
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). (experience)
  • Experience with Snowflake Data Platform is a plus. (experience)
  • Familiarity with various data integration and ETL tools. (experience)
  • Knowledge of data modeling techniques and best practices. (experience)
  • Experience in a customer-facing role with direct interaction and influencing skills. (experience)

Responsibilities

  • Lead, manage, mentor, and coach a team of Data Engineering Specialists to exceed individual and team revenue goals and drive high-impact customer engagements.
  • Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners, serving as a key technical and thought leader.
  • Collaborate strategically with Regional Sales Leaders and Executive Account Management to target and accelerate high-value opportunities that require deep data engineering and data lake expertise.
  • Work hands-on with prospects and customers as a player-coach to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
  • Contribute to the strategic direction of the AFE Data Engineering function, driving best practices, team enablement, and providing product feedback to drive future innovation.
  • 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, emphasizing the business value and ROI.
  • Influence the product roadmap, refine go-to-market strategies, and align field efforts with the product vision and customer success through close collaboration with Product Management, Engineering, Sales Leaders, and Marketing.
  • Develop and deliver training programs to enhance the team's technical and sales skills.
  • Conduct performance reviews and provide constructive feedback to team members.
  • Recruit, interview, and hire top talent to build a high-performing team.
  • Manage team budget and resources effectively.
  • Stay abreast of the latest industry trends and technologies and share knowledge with the team.

Benefits

  • general: Competitive salary and benefits package.
  • general: Comprehensive health insurance (medical, dental, vision).
  • general: Paid time off and holidays.
  • general: Employee stock purchase plan.
  • general: 401(k) with company match.
  • general: Professional development opportunities.
  • general: Wellness programs.
  • general: Flexible spending accounts.
  • general: Life insurance and disability coverage.
  • general: Employee assistance program.
  • general: Commuter benefits.
  • general: Generous parental leave policies.
  • general: Opportunities for career advancement.
  • general: Collaborative and innovative work environment.
  • general: Employee resource groups.
  • general: Stocked kitchen with snacks and drinks.

Target Your Resume for "Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now!. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Manager, Data Engineering Careers at Snowflake - New York, 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

Data EngineeringCloudManagementNew YorkFull-timeData ArchitectureCloud Data PlatformSnowflakeData CloudApplied Field EngineeringPre-salesSolution EngineeringTeam ManagementNew York CityNYC JobsData Engineering JobsCloud ComputingData WarehousingData LakesETLData IntegrationSales EngineeringSolutions ArchitectTechnical LeadershipCustomer EngagementProduct DemonstrationProof of ConceptRevenue GrowthCareer OpportunitySnowflake CareersData InnovationCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Senior Manager, Data Engineering Careers at Snowflake - New York, NY | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.