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Snowflake

Technical Architect

Snowflake

Technical Architect leading client data platform implementations at Snowflake. Collaborating with customers to optimize their data management and governance challenges in a fast-paced environment.

Posted 6/30/2026full-timeRemote • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in customer-facing technical roles, with a strong focus on implementing and optimizing cloud data platforms. Proficient in data engineering frameworks, distributed systems, and business intelligence solutions to drive customer success.

Highest-signal resume keywords
Customer Facing Technical RoleDistributed SystemsData Engineering FrameworksBusiness Intelligence SolutionsCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonData MeshData VaultData LakeData WarehouseBatch ProcessingClassificationRegressionMassively Parallel Processing
Soft Skills
Consulting SkillsTroubleshootingCollaborationDocumentationOptimization
Tools & Technologies
SnowflakeTeradataSparkTableauPowerBI
Industry Keywords
Cloud HyperscalersSecurityDisaster Recovery PlanningCustomer EngagementCustomer Delivery

Tech Stack

Tools & technologies
CloudDistributed SystemsPythonSparkSQLTableauVault

About the role

Key responsibilities & impact
  • Engage with several Snowflake customers
  • Lead technical streams of client data platform implementations and on-boarding efforts
  • Collaborate with Customer Engagement and Delivery matrix resources for project management and functional support
  • Help clients troubleshoot implementations and integrate the product
  • Identify, document, triage, and track issues for resolution
  • Contribute to the growth of Customer Delivery and Training teams through documentation and optimization
  • Gather product feedback from customers to inform new features

Requirements

What you’ll need
  • 5+ years of experience in a customer facing technical role
  • Experience with Distributed systems and massively parallel processing technologies and concepts (Snowflake, Teradata, Spark, etc.)
  • Knowledge of Data strategies and methodologies (Data Mesh, Data Vault, etc.)
  • Familiarity with Data organisation and modeling concepts (Data Lake, Data Warehouse, etc.)
  • Understanding of Infrastructure concepts (Cloud Hyperscalers, Security, Disaster Recovery Planning, etc.)
  • Experience with Data Engineering frameworks and concepts (batch processing, SQL, Python, etc.)
  • Knowledge of Business Intelligence and analytics solutions (Tableau, PowerBI, etc.)
  • Understanding of AI/ML key concepts (classification, regression, etc.)
  • A strong track record in building cloud data platforms and strong consulting skills

Benefits

Comp & perks
  • Private medical and insurance plans
  • Attractive parental leave
  • Support with adoption, surrogacy, pregnancy, or infant care
  • Strong private pension plans
  • Work-life balance
  • Annual vacation that is at the top of the market