Snowflake Native App Architect (Snowflake)

TL;DR

Snowflake Native App Architect (Snowflake): Designing and owning the end-to-end architecture of a workforce intelligence platform as a native application on the Snowflake Marketplace with an accent on the Snowflake Native App Framework and cloud-agnostic strategies. Focus on leading the Snowflake Security Review process, designing secure data flows, and managing the transition from Talend to dbt.

Location: Remote from Argentina, Brazil, or Colombia

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Design the Application Package structure per Snowflake Native App Framework specifications, including permissions and manifests.
• Architect a cloud-agnostic strategy, prioritizing Azure with modular extensibility for AWS and GCP.
• Design end-to-end data flows from desktop collectors to customer Snowflake environments, ensuring secure encryption and access.
• Lead the Snowflake Security Review process, including package structure and network egress documentation.
• Own the provider account setup and the overall versioning/release architecture.
• Evaluate and recommend migration tooling for the transition from Talend to dbt/Snowflake.

Requirements

• 5+ years of experience in cloud or data architecture.
• Hands-on experience with Snowflake, including the Native App Framework or Snowpark.
• Proven track record of delivering architecture documentation for platform reviews or compliance processes.
• Must be based in Argentina, Brazil, or Colombia.

Nice to have

• Experience publishing or contributing to a Snowflake Marketplace application.
• Familiarity with dbt, Streamlit, or Snowflake Cortex.
• Experience with Talend or similar ETL migration projects.
• Strong written communication skills for producing documentation for external reviewers.

Culture & Benefits

• Opportunity to shape real-world AI-driven projects across key industries.
• Access to a global team with equal opportunities for cross-continental collaboration.
• Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards.