Senior AI Data Engineer - Snowflake & RAG Architect

Robotics Technologies LLC; Austin (TX); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Austin, TX seeks a Senior Data Platform Architect to design and implement AI-powered data solutions. You will build scalable ELT/ETL pipelines, real-time integrations, and semantic layers using Snowflake, Kafka, Spark, Airflow, and dbt.

You will lead workshops, architecture reviews, PoCs, and production deployments, mentoring teams on RAG, vector search, and agentic AI. Strong SQL and Python, plus cloud experience (AWS/Azure/GCP) are required.

Competenze

• 10+ years of data engineering or analytics platform experience.
• Expertise in Snowflake architecture, security, governance, performance.
• Hands-on with Cortex AI, CoCO, Snowpark, and AI/ML integration patterns.
• Experience building LLM, RAG, vector search, and agentic AI solutions.
• Strong SQL and Python; experience with Airflow, dbt, Spark, Kafka; cloud platforms.

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

SQL

Python

Solution architecture

Customer-facing communication

Strumenti

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

AWS

Azure

GCP

Descrizione del lavoro

Robotics Technologies LLC in Austin, TX seeks a Senior Data Platform Architect to design and implement AI-powered data solutions. You will build scalable ELT/ETL pipelines, real-time integrations, and semantic layers using Snowflake, Kafka, Spark, Airflow, and dbt.

You will lead workshops, architecture reviews, PoCs, and production deployments, mentoring teams on RAG, vector search, and agentic AI. Strong SQL and Python, plus cloud experience (AWS/Azure/GCP) are required.