🛠 Tech Stack

💼 About This Role

You'll serve as the critical bridge between our Snowflake data platform and AI-powered systems driving marketing go-to-market motions. Your work ensures data is structured and ready for agentic AI applications, enabling autonomous intelligent systems. This role offers the chance to shape AI-driven innovation at a global cloud communications leader.

🎯 What You'll Do

• Define data requirements for AI models with Snowflake engineering.
• Serve as translation layer between data engineering and AI/ML teams.
• Design data layers for agent memory, context retrieval, and tool-use.
• Build data models and transformation logic on Snowflake.
• Identify and resolve data quality issues with engineering team.

📋 Requirements

• 8 years of experience in Data Science or data engineering-adjacent role.
• Advanced proficiency in Python and SQL.
• Deep expertise in Snowflake including Snowpark and advanced querying.
• 2 years of hands-on experience powering agentic AI workflows with data.
• Familiarity with vector databases or embedding-based retrieval systems.

✨ Nice to Have

• Experience with orchestration tools like dbt, Airflow, or similar.
• Exposure to marketing data ecosystems (CDP platforms, ad platform data).
• Advanced degree in quantitative field (Computer Science, Statistics, etc.).

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💻 Remote work from Mexico
• 💰 Competitive salary and equity
• 📚 Learning & development opportunities
• 🏥 Health insurance

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min