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Principal Data Platform Architect

Snowflake Inc.· Engineering
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US-CA-Menlo Park$189k - $248.1kFull-timePosted 2mo ago

About the role

Senior data platform architect and pre-sales leader focused on designing and communicating Snowflake’s Cloud Data Platform solutions to executives and technical audiences, driving customer engagements from demos through proofs of concept to design and implementation.

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 industry, maintaining a deep understanding of competitive technologies and vendors and how to position Snowflake relative to them
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Qualifications

  • 10+ years of architecture and data engineering experience within the Enterprise Data space
  • 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
  • Outstanding presentation skills to both technical and executive audiences
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
  • Broad experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (Data Lake, Data Mesh, Data Fabric)
  • Hands on Development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and other Big data technologies
  • Deep understanding of data integration tools for ETL/ELT pipelines (e.g., Apache NiFi, Matillion, Fivetran, Qlik, Informatica)
  • Familiarity with streaming technologies (Kafka, Flink, Spark Streaming, Kinesis) and real-time use cases (e.g., CDC)
  • Experience designing interoperable data lakehouse architectures with Iceberg, Delta, Parquet
  • Strong architectural expertise in data engineering for effective executive and technical demonstrations
  • Bachelor’s Degree required; Master’s preferred in computer science, engineering, mathematics or related fields, or equivalent experience

Skills

Required:ArchitecturePre-sales / Solution EngineeringPresentation & DemosData Technologies
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

AIData CloudData EngineeringAnalyticsApplications & Collaboration
Company profileWebsite

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