🛠 Tech Stack

💼 About This Role

You'll own the design and evolution of an AI-first data architecture, building the data backbone that powers intelligent systems across the enterprise. You'll design and govern the data platform enabling GPT assistants, AI agents, and predictive analytics. This is a foundational role at the intersection of data engineering, AI infrastructure, and governance.

🎯 What You'll Do

• Design and own end-to-end data architecture for AI, analytics, and BI
• Lead enterprise-wide data modeling across multiple departments
• Build and govern AI/ML data infrastructure including feature stores
• Define and enforce data quality, governance, and compliance standards

📋 Requirements

• 7–10 years in data engineering or data architecture
• Strong hands-on expertise with Snowflake, dbt, Airflow
• Proven experience designing data systems for AI/ML use cases
• Proficiency in SQL and Python

✨ Nice to Have

• Experience with RAG systems and vector databases
• Experience in SaaS environments
• Cross-functional technical program leadership

🎁 Benefits & Perks

• 💰 Competitive compensation
• 🏥 Comprehensive medical, dental, vision
• 🏖️ Flexible PTO
• 🤱 Paid parental leave
• 🏠 Remote-friendly work

📨 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