Senior Data Engineer – Snowflake & AI Data Platform

Position Title: Senior Data Engineer – Snowflake & AI Data Platform

Hiring Mode (Full-Time): Full Time-Permanent

Address of client location (if Hybrid): Tempe, AZ 85281 (Hybrid)

We are looking hands-on experience in Snowflake Cortex or other LLM/AI platforms and AI-powered analytics solutions.

Role Overview: We are seeking an experienced Snowflake Data Engineer to design, build, and optimize modern cloud based data platforms.

The ideal candidate will have strong expertise in Snowflake, Python, SQL, Airflow, and AI powered analytics, with a passion for building scalable data products and leveraging modern engineering practices.

Key Responsibilities:

• You will design and develop scalable Snowflake-based data solutions
• You will build and optimize ELT/ETL pipelines and data models
• You will leverage Snowflake Cortex to enable AI-powered analytics and insights
• You will develop and manage Airflow workflows and orchestration frameworks
• You will implement Spec-Driven Development using Cursor and AI-assisted engineering
• You will create Power BI-ready semantic layers and analytics datasets
• You will drive automation, testing, monitoring, and CI/CD best practices
• You will collaborate with business and analytics teams to deliver high-quality data products

Experience Required & Education:

• 8–12 years of experience in Data Engineering and Cloud Data Platforms
• Bachelor's/master’s degree in computer science, Engineering, or related field.

Must-Have:

• Expert in Snowflake (Architecture, Data Modeling, Performance Tuning, Snowpark, Dynamic Tables, Streams & Tasks)
• Hands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search, AI-powered analytics)
• Strong expertise in Python and advanced SQL
• Experience building scalable ETL/ELT pipelines
• Strong knowledge of Apache Airflow for workflow orchestration
• Experience with Power BI datasets, semantic models, and report optimization
• Proficient in Cursor IDE and AI-assisted development
• Hands-on experience with Spec-Driven Development (SDD) and metadata-driven engineering
• Strong understanding of Git, CI/CD, and DataOps practices
• Experience integrating data from APIs, SaaS applications, and enterprise systems

Good to Have:

• Experience with Terraform and Infrastructure as Code
• Exposure to Datadog or enterprise monitoring tools
• Experience with AI/GenAI-driven data engineering solutions
• Knowledge of Azure/AWS cloud platforms
• Retail, Consumer, or QSR domain experience
• Experience working in Agile product teams
• Exposure to modern data platform modernization initiatives