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 view on leadership. You've thought about how you build teams and how you want engineers to work, and you can articulate it. If you've shared it publicly (writing, talks, open source, community), even better. • You disagree well. You've made the case against a roadmap, a design, or your own leadership, brought evidence, and come out of it still in partnership. • Influence beyond your own team. You've delivered work that depended on teams you don't manage (a migration, a shared SLA, a platform dependency) by bringing people along rather than escalating. • Team building as core work. You've hired engineers you're proud of, grown people into senior and lead roles, and treated the quality of the team as part of the product. • Communication that creates momentum. You can frame where a team is heading in a way that makes strong engineers want to build it with you. • A Bachelor's degree (or equivalent) in Computer Science or a related field. • A proven track record with 5+ years of experience conceiving and implementing distributed systems from ideation through production. • Proficiency in Python, along with strong SQL or SparkSQL experience. • Versatility across the full data engineering stack, including: • Data stores such as ClickHouse, Elasticsearch, Postgres, Redis, and Neo4j. • Data pipeline and workflow orchestration tools such as Airflow, DBT, Luigi, Azkaban, and Storm. • Data processing technologies and streaming workflows, including Spark, Kafka, and Flink. • Infrastructure deployment and monitoring in public cloud environments using Docker, Terraform, Kubernetes, and Datadog. • Demonstrated ability to load, query, and transform large-scale, complex datasets. APPLICATION INSTRUCTIONS If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your qualifications for the role. If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure you’re considered. WHAT TO EXPECT FROM OUR INTERVIEW PROCESS Our process is designed to understand how you think, solve problems, and deliver impact, while giving you the opportunity to evaluate TRM. Most interview processes include a case study, AI skills assessment, and Leadership Principles interview. - Recruiter Intro: Explore your experience, motivations, and alignment with the role. - Hiring Manager: Dive deeper into your relevant experience, skills, and impact. - First Round: Typically 1–2 interviews focused on the skills most critical to the role. - Final Round: Typically 3–5 interviews to go deeper on your craft, problem-solving, and alignment with TRM. - References: We