AI Data Engineer

We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

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 Google Cloud Platform).
  
• 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.
  

Ideal Candidate

• A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.