🛠 Tech Stack

💼 About This Role

You'll lead the evolution of scalable data architecture and AI-driven data infrastructure across multiple engineering teams. Your work will unify data platforms and enable advanced analytics and machine learning capabilities for next-generation products. This is a high-impact role combining hands-on development with strategic influence in a remote-first environment.

🎯 What You'll Do

• Design and lead evolution of cross-platform data architecture.
• Drive integration strategies to unify data systems and enable new capabilities.
• Lead development of AI and backend infrastructure, including data pipelines.
• Build, maintain, and optimize large-scale batch and streaming data pipelines.

📋 Requirements

• 8+ years of experience in data engineering or data architecture.
• Proven experience designing distributed data systems across multiple products.
• Strong expertise in cloud data warehouse technologies like Snowflake or BigQuery.
• Hands-on experience building scalable data pipelines using Kafka, Spark, Airflow.

✨ Nice to Have

• Familiarity with Kubernetes or containerization technologies.
• Experience integrating AI/ML capabilities including large language models.

🎁 Benefits & Perks

• 💰 Competitive compensation $220K-$240K USD
• 🏥 Comprehensive insurance (medical, dental, vision)
• 👶 Generous parental leave (up to 18 weeks)
• 🏝️ Unlimited PTO plus holidays and year-end closure
• 🏡 Fully remote with stipends for phone, internet, wellness, learning

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min