Snowflake Cortex AI Architect for Intelligent Data Platforms

DATAECONOMY; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

DATAECONOMY in NYC seeks an experienced Snowflake Data Architect to design cloud data platforms with Snowflake Cortex AI capabilities. Lead data warehouses, data lakes, and Lakehouse solutions, and build ELT/ETL pipelines using Snowpark, SQL, Python and dbt while ensuring governance and security.

The ideal candidate has 10+ years in data engineering/architecture, deep Snowflake expertise, Cortex AI features, and strong collaboration to translate requirements into scalable AI-powered data

Qualifications

• 10+ years of Data Engineering/Data Architecture experience.
• 5+ years of hands-on Snowflake implementation experience.
• Strong expertise in Snowflake Architecture and Snowflake Data Cloud.
• Experience with Snowpark (Python/Scala) and SQL.
• Knowledge of data modeling (Dimensional & Data Vault).
• Experience with Cortex AI Functions, Cortex Search, Cortex Agents, and Semantic Search.

Responsibilities

• Lead end-to-end implementation of Snowflake Data Cloud solutions.
• Architect modern data warehouses, data lakes, and Lakehouse solutions.
• Design scalable ELT/ETL pipelines using Snowpark, SQL, Python, and dbt.
• Build AI-powered data products using Snowflake Cortex AI.
• Develop RAG solutions using Cortex Search and vector embeddings.
• Implement Semantic Search and enterprise knowledge retrieval solutions.
• Design and deploy Cortex Agents and multi-agent AI workflows.
• Develop AI-powered data applications using Cortex AI Functions.
• Design secure AI architectures with RBAC, masking policies, and data governance.
• Optimize Snowflake performance, storage, clustering, and cost.

Skills

Snowflake

Snowflake Cortex AI

Snowpark (Python)

SQL

Data Modeling

Education

Bachelor's or Master's in CS/IT

Tools

dbt

Python

Kafka

Job description

DATAECONOMY in NYC seeks an experienced Snowflake Data Architect to design cloud data platforms with Snowflake Cortex AI capabilities. Lead data warehouses, data lakes, and Lakehouse solutions, and build ELT/ETL pipelines using Snowpark, SQL, Python and dbt while ensuring governance and security.

The ideal candidate has 10+ years in data engineering/architecture, deep Snowflake expertise, Cortex AI features, and strong collaboration to translate requirements into scalable AI-powered data