TRM Labs provides blockchain analytics and AI solutions to help various agencies and businesses combat crypto-related fraud and financial crime. The role involves developing and managing scalable database infrastructure to support TRM's products and services, enhancing the safety of financial systems.
Responsibilities:
- Design and maintain petabyte scale high-performance databases and data models that support real-time investigations and analytics use cases
- Build and optimize production data pipelines—batch and streaming—that transform large-scale blockchain datasets
- Diagnose and tune complex SQL queries under heavy load, working closely with product and research teams
- Own key infrastructure initiatives—from query optimization and index strategy to storage optimization and system resilience
- Collaborate cross-functionally to deliver reliable and impactful data workflows end-to-end
Requirements:
- 5+ years of experience in data engineering, analytics infrastructure, or backend systems with RDBMS depth
- Experience implementing and maintaining database security measures, including access control, encryption, and compliance with security frameworks and standards
- Proven expertise with at least one of: Postgres, MySQL, or SQL Server at production scale (e.g., TB-scale datasets, concurrency, replication, tuning)
- Strong command of SQL reasoning—you know how to debug, explain, and optimize queries, not just write them
- Experience designing and evolving data models (normalized and denormalized) to support analytical or operational use cases
- Familiarity with data pipeline frameworks (e.g., Airflow, DBT, custom orchestration)
- Systems thinking and ownership mindset—you're comfortable solving ambiguous, cross-functional problems from end to end