Engineering Manager, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and nurture a team of skilled, impactful engineers by providing cultural, technical, and practical leadership.

• Offer ongoing coaching and technical guidance not only to your immediate team but also to the wider engineering department.

• Assume direct responsibility for the quality and timely delivery of the team's output while managing the overall availability and performance of essential services.

• Drive initiatives based on defined objectives and measurable results that align with KPIs.

• Promote best practices in design and usability, developing scalable engines with comprehensive documentation and knowledge sharing.

• Address escalations from operations and collaborate with various teams to resolve production incidents thoroughly.

• Partner with management and product teams to plan, estimate, and prioritize roadmap goals while identifying future opportunities and risks.

• Construct highly reliable data services for integration with numerous blockchains.

• Create ETL pipelines to transform and process petabytes of structured and unstructured data in real time.

• Design data models that ensure optimal storage and retrieval, facilitating sub-second latency for querying blockchain data.

• Deploy and monitor extensive database clusters that are both high-performing and highly available.

• Collaborate across functions with data scientists, backend engineers, and product managers to design and implement new data models that support TRM’s products.

⛳️ Requirements

• A Bachelor's degree (or equivalent) in Computer Science or a related discipline.

• Over 5 years of experience in building distributed system architecture, from conceptualization to production.

• Proficient programming skills in Python, along with SQL or SparkSQL.

• Versatility across the full spectrum of data engineering, including:

• Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and 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)

• Experience in loading, querying, and transforming large datasets

• An AI-native mindset: the capability to leverage contemporary AI/ML tools and workflows

🏝️ Benefits

• Participation in TRM’s equity plan

• Opportunity to contribute to building a safer world

• A high-velocity and high-ownership work environment