Senior AI Data Platform Engineer

Ethereum Technologies; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Ethereum Technologies in Austin, TX is seeking a senior data engineering leader to design and scale enterprise AI data platforms. You will architect data pipelines, implement RAG, and integrate Snowflake Cortex AI and CoCO across cloud environments.

The role requires hands-on Snowflake, SQL, Python, Airflow, and Spark expertise, plus strong communication with customers to translate complex architectures into practical solutions.

Qualifications

• 10+ 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 GCP).
• Strong customer-facing communication and solution architecture skills.

Responsibilities

• 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.

Skills

Data engineering

SQL

Python

Snowflake

Cloud data platforms

Architectural design

Communication

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Kafka

Spark

AWS

Azure

GCP

Job description

Ethereum Technologies in Austin, TX is seeking a senior data engineering leader to design and scale enterprise AI data platforms. You will architect data pipelines, implement RAG, and integrate Snowflake Cortex AI and CoCO across cloud environments.

The role requires hands-on Snowflake, SQL, Python, Airflow, and Spark expertise, plus strong communication with customers to translate complex architectures into practical solutions.