Principal Data Lead (Data Engineering with Full-Stack Dev) - Investment Systems

📋 Description

• Own the architecture of a layered reference-data platform, defining the contracts between sourcing
• Set technical direction for entity mastering — standardization, blocking, matching, survivorship
• Architect the durable golden copy: a bitemporal, point-in-time source of truth with match evidence
• Define the event-driven backbone and cadence model (start-of-day, intraday, end-of-day, and
• Design the API-first, self-documenting distribution surface (REST, curated data products
• Drive the platform’s storage and compute strategy over an open lakehouse (Apache Iceberg

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent
• 12+ years of professional software engineering experience, including significant time as a
• Expert-level proficiency in Python for building production services, data pipelines, and platform
• Proven experience architecting master data management (MDM) or reference/entity-data systems —
• Deep data engineering expertise: data modeling, ETL/ELT design, distributed processing (Spark), and
• Hands-on experience designing API-first services and event-driven / streaming architectures (e.g.