🛠 Tech Stack

💼 About This Role

You'll own and evolve data pipelines and platforms for Narvar's post-purchase analytics and ML products. You'll make architectural decisions and ship production systems at scale, using agentic coding tools to increase leverage. This role offers startup-level ownership with platform-level impact on a data-rich e-commerce problem space.

🎯 What You'll Do

• Design, build, and operate data pipelines using Airflow and BigQuery
• Own end-to-end data models for merchant analytics and ML features
• Build and maintain embedded analytics infrastructure for merchants
• Improve data quality through testing, observability, and validation

📋 Requirements

• 5-8 years building and operating production data systems
• Strong SQL skills and proficient in Python
• Experience with GCP including BigQuery and Airflow
• Deep understanding of data modeling (dimensional modeling, incremental processing)

✨ Nice to Have

• Startup or high-ownership environment experience
• Built or maintained embedded analytics or multi-tenant data products
• Interest in making data accessible to AI systems

🎁 Benefits & Perks

• 💰 Competitive salary and equity
• 🏖️ Remote work flexibility
• 📈 Annual bonus
• 🌟 Startup culture with platform-level impact

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager· 45 min