🛠 Tech Stack

💼 About This Role

You'll lead a portfolio data engineering team building scalable pipelines for Addepar's AI platform. Your work will increase data ingestion throughput using PySpark and Databricks. This role offers high visibility and impact on client data quality.

🎯 What You'll Do

• Lead and mentor a team of Portfolio Data Engineers
• Drive technical direction for portfolio data engineering
• Build scalable distributed data pipelines with PySpark
• Partner with cross-functional teams to deliver data solutions

📋 Requirements

• Proven experience leading data engineering teams
• Several years of professional data engineering as an individual contributor
• Computer science degree or equivalent experience
• Working knowledge of object-oriented programming (PySpark, Python, Java), SQL, and data pipelines

✨ Nice to Have

• Knowledge of financial concepts (stocks, bonds, etc.)
• Passion for FinTech and investment management

🎁 Benefits & Perks

• 🚀 High-visibility role with direct impact on client data quality
• 🌍 Global team collaboration across multiple regions
• 📚 Learning opportunities in a fast-paced environment

📨 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

🚩 Heads Up

• Visa sponsorship not available, limiting candidate pool