Engineering Manager, Data
Own and evolve the platform supporting more than 1 petabyte of blockchain intelligence products, including batch processing, real-time systems, and 24/7 APIs. Lead two sub-teams, set technical direction, improve delivery speed, and enable data scientists to build and ship intelligence products efficiently.
Responsibilities
- Own the platform supporting 1+ petabyte of intelligence products, including batch processing, real-time systems, and 24/7 APIs.
- Build foundational AI architecture for blockchain intelligence infrastructure.
- Drive a 10x improvement in the speed of delivering intelligence models and data products to customers.
- Lead and hire for two sub-teams spanning data infrastructure and product-facing delivery.
- Set technical direction and make architecture, tooling, and platform investment decisions.
- Build platforms that accelerate data science workflows.
Requirements
- 8+ years of hands-on data or engineering experience and 4+ years of direct people management.
- Experience as a player-coach reviewing architecture, debugging pipelines, and making system design decisions while setting team strategy.
- Experience owning production systems at scale, such as customer-facing data products, APIs, or decisioning engines.
- Strong Python and SQL skills, with experience in BigQuery, Airflow, data lake architecture, and serving layers.
- Active daily use of AI tools to accelerate development and challenge assumptions.
- Good judgment when making technology and platform investment decisions.