Senior Snowflake Data Engineer - AI-Driven Platform

ITC Infotech; Tempe (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

ITC Infotech is seeking a Senior Data Engineer for the Snowflake & AI Data Platform in Tempe, AZ. The role focuses on building scalable cloud data platforms with Snowflake, Python, SQL, Airflow, and Cortex-driven analytics.

You’ll design ELT/ETL pipelines, develop data models, and deliver AI-powered insights while collaborating with analytics teams. Office-based role with four in-office days per week.

Qualifications

• Expert in Snowflake architecture, modeling, performance tuning and features like Snowpark.
• Hands-on Cortex analytics and AI-powered data insights.
• Strong Python and advanced SQL capabilities.
• ETL/ELT pipeline design and optimization.
• Airflow-based workflow orchestration expertise.
• Experience with data from APIs and SaaS platforms.

Responsibilities

• Design and develop scalable Snowflake-based data solutions.
• Build and optimize ELT/ETL pipelines and data models.
• Leverage Snowflake Cortex for AI-powered analytics.
• Develop and manage Airflow workflows.
• Implement Spec-Driven Development and metadata-driven engineering.
• Create Power BI-ready semantic layers and datasets.
• Drive CI/CD, testing, and data observability practices.
• Collaborate with business and analytics teams to deliver data products.

Skills

Snowflake Architecture

Python

SQL

Airflow

AI analytics

Git CI/CD

DataOps

Cursor IDE

Metadata-driven engineering

APIs/SaaS integration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Snowflake Cortex

Power BI

Terraform

Datadog

Job description

ITC Infotech is seeking a Senior Data Engineer for the Snowflake & AI Data Platform in Tempe, AZ. The role focuses on building scalable cloud data platforms with Snowflake, Python, SQL, Airflow, and Cortex-driven analytics.

You’ll design ELT/ETL pipelines, develop data models, and deliver AI-powered insights while collaborating with analytics teams. Office-based role with four in-office days per week.