Engineering Manager, Data Platform

BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As an Engineering Manager, you will guide your team toward executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale. Your contributions will play a pivotal role in building a safer financial system for billions of people. The impact you'll have here: • Lead and nurture a team of high-impact engineers, offering guidance in both technical and cultural aspects. • Provide regular coaching and technical mentorship to your immediate team, while contributing to the broader engineering organization's growth. • Assume direct responsibility for ensuring the quality and timely delivery of the team's work, while overseeing the availability and performance of critical services. • Drive projects aligned with well-defined goals and measurable outcomes, accountable to key performance indicators (KPIs). • Foster best practices in design and usability, creating scalable solutions while emphasizing documentation and knowledge sharing. • Resolve operational escalations and collaborate with cross-functional teams to address production incidents through resolution. • Collaborate closely with management and product teams to plan, estimate, and prioritize roadmap objectives, while identifying opportunities and mitigating risks. • Contribute to the creation of highly reliable data services that seamlessly integrate with numerous blockchains. • Engineer and optimize ETL pipelines that handle real-time transformation and processing of petabytes of structured and unstructured data. • Architect data models to ensure efficient storage and retrieval, maintaining sub-second latency for querying blockchain data. • Oversee the deployment and monitoring of large-scale database clusters, focusing on performance and high availability. • Collaborate cross-functionally with data scientists, backend engineers, and product managers to design, implement, and refine new data models supporting TRM's products. What we're looking for: • 5+ years managing engineers, including a team of roughly 8–15, with scope that has grown over time (more surface area, more people, or more complex systems than when you started). • Technical depth you still use. You read design docs closely, ask the question that changes the approach, and can unblock an engineer on the hard part. You don't need to be writing production code daily to stay credible. • A point of…