🛠 Tech Stack

💼 About This Role

You'll architect a scalable Unified Data Platform using Event-Driven Architecture on AWS. You'll modernize data infrastructure to enable AI/ML and self-service analytics, driving the systematic reduction of critical technical debt.

🎯 What You'll Do

• Architect data lakehouse with Apache Iceberg and Kafka
• Build code-first data pipelines across enterprise applications
• Develop ELT pipelines and data models in Snowflake
• Drive migration off legacy middleware (e.g., Boomi)

📋 Requirements

• 5+ years in data platform or distributed systems
• Deep proficiency in Python, Java, or similar
• Designing scalable data platforms on AWS/GCP/Azure
• Computer science fundamentals in data structures and algorithms

✨ Nice to Have

• Event streaming expertise (Kafka, RabbitMQ, Pub/Sub)
• dbt and advanced Snowflake features experience
• Kubernetes and Infrastructure-as-Code knowledge

🎁 Benefits & Perks

• 💵 Annual bonus program
• 📈 Equity grants
• 🏥 Comprehensive health benefits
• 🏖️ Retirement benefit programs

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3System design interview· 60 min
4. 4Hiring manager interview· 45 min
5. 5Offer