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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Data Platform - **Company:** TRM Labs - **Location:** United States - **Experience:** Expert - **Salary:** $230,000.0 - $260,000.0 - **Contract:** Temporary contract - **Skills:** Adobe InDesign, Artificial Intelligence, Airflow, Databases, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, Neo4j, Open Source Technology, Redis, Blockchain, Standard Sql, Unstructured Data, Datadog, Data Processing, System Availability, Apache Spark, Backend, Kubernetes, Information Technology, Apache Flink, Luigi, Production Code, Apache Kafka, Vertica, Terraform, Data Pipelines, Docker - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=16df75cc0ee5be4a ## About the Role * 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., * Priorities and targets to change quickly * Operating with a high degree of ambiguity * A high level of personal ownership and accountability * Close collaboration across teams and functions * Frequent, high-touch communication * Creative problem-solving and out-of-the-box thinking * A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. ## Description 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., Work Week Travel: This role requires participation in in-person R&D work weeks, typically 1-2 times per quarter, at a TRM hub or other designated location. Work weeks may be scheduled with as little as 14 days' notice, and some roles may require additional travel based on team and cross-functional needs. TRM coordinates and covers approved travel, lodging, and workspace. Accommodations are available for legitimate caregiving, health, immigration, and similar constraints., We hire and grow against three leadership principles. They're the standards for how we operate, treat each other, and make decisions. * Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment - test, ship, measure, and iterate quickly. * Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end-to-end, and invest in getting better everyday. * Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one-team mindset - giving and receiving feedback to make the team stronger., By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.