Snowflake AI Architect & Data Platform Engineer

Cloud Analytics Technologies, LLC; Las Vegas (NV); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. You will engage customers, shape architecture, and implement data pipelines with Cortex AI, CoCO, and modern data platforms.

The role covers solution architecture, data engineering, and AI integration across Snowflake, Kafka, Spark, Airflow, and cloud services, including real-time integrations and PoC deployments.

Competenze

• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
• Deep expertise in Snowflake architecture, security, governance, and performance optimization.
• Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
• Experience building LLM, RAG, vector search, and agentic AI solutions.
• Strong SQL and Python skills.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud Platform).
• Strong customer-facing communication and solution architecture skills.

Mansioni

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead workshops, architecture reviews, PoCs, and production deployments.
• Develop reusable accelerators and best practices.

Conoscenze

Data Engineering

Snowflake Cortex AI

Python

SQL

Airflow

Kafka

Cloud platforms

Strumenti

Snowflake

dbt

Spark

Snowpark

Streamlit

Descrizione del lavoro

Cloud Analytics Technologies, LLC seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. You will engage customers, shape architecture, and implement data pipelines with Cortex AI, CoCO, and modern data platforms.

The role covers solution architecture, data engineering, and AI integration across Snowflake, Kafka, Spark, Airflow, and cloud services, including real-time integrations and PoC deployments.