Lead and shape the future of data engineering for a platform analyzing blockchain activity at massive scale. You'll guide a team of skilled engineers, fostering growth through mentorship while ensuring the delivery of robust, high-performance data systems that support real-time transaction analysis.
What You’ll Do
- Manage and grow a team of data engineers, providing technical direction, coaching, and hands-on leadership across the development lifecycle.
- Own the quality, reliability, and performance of critical data services, ensuring systems meet strict availability and latency requirements.
- Design and maintain scalable ETL pipelines that process petabytes of structured and unstructured data in real time across multiple blockchain networks.
- Architect efficient data models and storage solutions to enable sub-second query responses on vast datasets.
- Oversee deployment and monitoring of large-scale database clusters using modern cloud infrastructure and orchestration tools.
- Collaborate with data scientists, backend engineers, and product teams to align data architecture with product goals and roadmap priorities.
- Drive engineering outcomes through measurable KPIs, iterative development, and a focus on high-impact initiatives.
- Respond to operational escalations and lead incident resolution across cross-functional teams.
What We’re Looking For
- Bachelor’s degree in Computer Science or related field, or equivalent experience.
- 5+ years of hands-on experience designing and deploying distributed data systems from concept to production.
- Proficiency in Python, SQL, or SparkSQL, with deep experience across the data engineering stack.
- Familiarity with data stores such as ClickHouse, Postgres, Redis, Neo4j, and ElasticSearch.
- Experience with workflow orchestration tools including Airflow, DBT, Luigi, or Azkaban.
- Working knowledge of streaming technologies like Kafka, Spark, Flink, and Storm.
- Experience deploying and monitoring systems using Docker, Kubernetes, Terraform, and Datadog in public cloud environments.
- Ability to apply AI/ML tools and workflows to enhance engineering efficiency and data processing.
Our Environment
We operate as a distributed-first team with members across the US and beyond. Our culture emphasizes ownership, adaptability, and rapid iteration. You’ll work in an environment grounded in trust and transparency, where innovation thrives through diverse perspectives and continuous learning. We value impact, technical craftsmanship, and the ability to move quickly while maintaining high standards. Participation in the company’s equity plan is available, and we support accessibility through reasonable accommodations.
