Senior Analytics Architect, Applied Field Engineer

Snowflake1 months ago

Location

US-WA-Bellevue

Type

Full Time

Salary

USD 165,000 – 216,562

Level

Senior

Role

Data Engineer

Posted

Feb 13, 2026

Full TimeSenior

The role

Summary

Snowflake is seeking a Senior Analytics Architect, Applied Field Engineer to serve as a technical expert for data collaboration solutions on the Snowflake Data Cloud platform. This role involves working with customers across the Americas to design data architectures, drive proof-of-concepts, and create technical content while partnering with cross-functional teams to ensure successful adoption of Snowflake's collaboration features.

What you'll do

Technical Expert Leadership: Serve as the technical expert positioning Snowflake's Collaboration features and value to technical stakeholders at customer organizations across the Americas

POC Development and Execution: Partner with Snowflake account teams and customer champions to scope and drive proof-of-concepts to success, including executive readouts and business value cases

Content Creation and Scaling: Publish technical content including blog posts, conference presentations, notebooks, and demos to help the team and company scale beyond individual efforts

Solution Engineering Asset Management: Influence, tailor, and maintain Solution Engineering Collaboration selling assets including customer presentations, demonstrations, and customer success stories

Data Architecture Design: Design and architect comprehensive Data Collaboration solutions built on the Snowflake Data Cloud platform for enterprise customers

Cross-functional Collaboration: Work closely with product, engineering, and broader field organization teams to ensure successful execution and customer adoption of Snowflake's collaboration solutions

Technical Stakeholder Engagement: Conduct whiteboarding sessions, formal readouts, and technical demonstrations for both technical and executive audiences

Customer Success Enablement: Provide hands-on expertise and support to ensure successful implementation and adoption of Snowflake collaboration features

What we look for

Technical

Data Architecture Expertise5+ years of comprehensive data architecture experience with focus on enterprise-scale solutions

Data Sharing KnowledgeDeep understanding of how companies share data today and modern data collaboration patterns

Large-scale Database TechnologyExperience with enterprise database platforms such as Snowflake, Netezza, Exadata, Teradata, or Greenplum

Snowflake Platform Proficiency1+ years of practical hands-on experience with Snowflake Data Cloud platform and its features

Snowflake Marketplace ExperienceHands-on experience building listings on Snowflake Marketplace and implementing Direct Data Sharing solutions

Education

Bachelor's DegreeBachelor's degree required in any field with technical foundation

Advanced Degree PreferredMaster's degree in computer science, engineering, mathematics, or related technical fields preferred, or equivalent practical experience

Experience

Senior-Level Experience5+ years of progressive experience in data architecture and enterprise data solutions

Customer-Facing ExperienceExperience working directly with enterprise customers and technical stakeholders in solution architecture roles

Presentation and CommunicationStrong presentation skills for both technical and executive audiences, including whiteboarding sessions and formal demonstrations

Content Creation ExperienceExperience creating technical content such as blog posts, conference presentations, or technical documentation

Skills

Required skills

Data Architecture5+ years of enterprise data architecture experience with focus on scalable solutions

Technical PresentationStrong presentation and communication skills for technical and executive audiences

Customer EngagementAbility to work directly with enterprise customers and drive technical discussions

Solution DesignExperience designing and implementing data collaboration solutions at enterprise scale

Cross-functional CollaborationAbility to work effectively with product, engineering, and sales teams

Nice to have

Snowflake Expertise1+ years of hands-on experience with Snowflake Data Cloud platform and features

Data Marketplace ExperienceExperience building listings on Snowflake Marketplace and implementing Direct Data Sharing

Enterprise Database PlatformsKnowledge of large-scale database technologies like Teradata, Netezza, Exadata, or Greenplum

Content CreationExperience creating technical blog posts, conference presentations, or educational content

Advanced DegreeMaster's degree in computer science, engineering, mathematics, or related technical field

Compensation & benefits

Salary

USD 165,000 – 216,562 (annual)

Stock options

Available

Benefits

Comprehensive Health Insurance

Full medical, dental, and vision coverage for employees and dependents

Equity Participation

Stock options and equity participation in Snowflake's growth as a leading cloud data platform company

Professional Development

Conference attendance, training opportunities, and continuous learning budget for technical skill advancement

Flexible Work Environment

Hybrid work arrangements with modern office facilities and remote work flexibility

Retirement Planning

401(k) retirement savings plan with company matching contributions

Paid Time Off

Generous vacation policy, sick leave, and company holidays for work-life balance

Parental Leave

Comprehensive parental leave policies for new parents

Wellness Programs

Employee wellness initiatives including mental health support and fitness benefits

Interview process

1
Initial Screening — Phone or video call with recruiter to discuss background, role expectations, and mutual fit
2
Technical Assessment — Technical interview focusing on data architecture experience, Snowflake knowledge, and solution design capabilities
3
Presentation Round — Technical presentation demonstrating ability to communicate complex data concepts to both technical and executive audiences
4
Cross-functional Interviews — Interviews with product, engineering, and field organization team members to assess collaboration and strategic thinking
5
Final Interview — Final round with senior leadership focusing on cultural fit, strategic vision, and customer-facing capabilities
6
Reference Checks — Professional reference verification and background check completion