AI Data Engineer

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

Job summary

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.

Qualifications

• 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.

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

Solution architecture

Customer-facing communication

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

AWS

Azure

GCP

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key 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.

Required 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.

Preferred Qualifications:

• Snowflake certifications (Architect, Data Engineer, AI specialization).
• Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
• Knowledge of enterprise security, governance, privacy, and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.