Engineering Manager, Data Engineering - US Remote

Engineering Manager – Data PlatformLead the Data Platform team in building highly available and scalable data infrastructure for TRM's products and services, executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale.Impact you'll have hereLead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.Take direct responsibility for the quality and delivery of the team's work, and manage the end-to-end availability and performance of critical services.Drive work based on goals and measurable outcomes that are accountable to KPIs.Encourage best practices in design and usability, creating scalable engines with thorough documentation and knowledge sharing.Resolve escalations arising from operations and work with various teams to solve production incidents through to resolution.Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.Build highly reliable data services to integrate with dozens of blockchains.Develop ETL pipelines that transform and process petabytes of structured and unstructured data in real time.Design data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.Deploy and monitor large database clusters that are performant and highly available.Work cross-functionally with data scientists, backend engineers and product managers to design and implement new data models to support TRM's products.What we're looking forBachelor's degree (or equivalent) in Computer Science or a related field.5+ years of experience building distributed system architecture, from whiteboard to production.Strong programming skills in Python, and SQL or SparkSQL.Versatility – experience across the entire spectrum of data engineering, including:Data stores (e.g. ClickHouse, ElasticSearch, Postgres, Redis, Neo4j)Data pipeline and workflow orchestration tools (e.g. Airflow, DBT, Luigi, Azkaban, Storm)Data processing technologies and streaming workflows (e.g. Spark, Kafka, Flink)Deployment and monitoring infrastructure in public cloud platforms (e.g. Docker, Terraform, Kubernetes, Datadog)Loading, querying, and transforming large data setsAI-native mindset: ability to leverage modern AI/ML tools and workflows to accelerate engineering productivity, data processing, and problem solving.CompensationEstimated base salary: $220,000 – $240,000.Eligible for participation in TRM's equity plan.TRM is an equal-opportunity employer and encourages applicants from diverse backgrounds.J-18808-Ljbffr