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# Snowflake Data & AI Architect- Semantic & Governance (ContracttoHire)

- **Company:** Openmind Technologies
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Computing Platforms, ARM Architecture, Information Engineering, Data Systems, Machine Learning, Metadata, Feature Engineering, Large Language Models, Snowflake, Data Layers, Build Management, Data Analytics, Machine Learning Operations, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/0ab3edcf-1c76-4bd2-8206-54a9c4362e81

## About the Role

* 5-10+ years in Data Engineering, ML Engineering, or AI Engineering.
 * Strong hands-on experience with Snowflake AI Cortex.
 * Deep expertise in Snowflake SQLML, Snowpark, and containerized ML workloads.
 * Experience building Snowflake semantic layers using DDL-based metadata and governed views.
 * Familiarity with Snowflake Horizon governance.
 * Experience re-engineering or migrating ML/semantic workloads between Databricks and Snowflake.
 * Ability to operate in lead/admin/architect roles.
 * Strong communication skills and ability to work with cross-functional engineering teams.

Nice to Have

 * SnowPro Core or SnowPro Advanced certifications.
 * Experience with GenAI, LLM-based applications, or agentic development frameworks.
 * Prior experience supporting Snowflake-oriented enterprise customers.

Contract-to-Hire Model

This role begins as a contract engagement with the intent to convert to full-time based on performance, organizational fit, and alignment with Client' Snowflake AI roadmap.

## Description

Snowflake AI/Cortex Development

 * Build and optimize Snowflake AI Cortex workloads for inference, feature engineering, and AI-driven insights.
 * Integrate Cortex capabilities into Client's AI solutions for Snowflake-oriented customers.

Snowflake ML Engineering

 * Develop SQLbased ML pipelines and Snowpark ML workflows.
 * Build and deploy custom ML models using Snowpark container runtime.
 * Re-engineer Databricks MLFlowbased workflows into Snowflake-native equivalents.

Semantic Layer Engineering

 * Design and implement Snowflake's DDLbased semantic metadata and governed semantic views.
 * Translate Databricks metricview patterns into Snowflake semanticlayer constructs.

Governance & Platform Architecture

 * Implement and operationalize Snowflake Horizon governance across data, semantics, ML, and AI workloads.
 * Ensure alignment with enterprise governance, security, and compliance standards.

Cross-Functional Collaboration

 * Work closely with Client AI Engineering teams building GenAI Data Solutions, Apps, and Agentic Development workflows.
 * Partner with product, engineering, and customer teams to deliver Snowflake-native AI/ML capabilities.

Advisory & Knowledge Transfer

 * Provide architectural guidance, best practices, and hands-on mentorship to internal teams.
 * Help client build long-term Snowflake AI expertise and reduce dependency on Databricks-oriented patterns.


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