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

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.

• 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.