VP, Data Engineer
Core
Build and operate production data platforms and infrastructure enabling autonomous data pipelines for data champions.
Role type
VP, Data Engineer (hands-on IC with team leadership)
Builds
Scalable data infrastructure, event-driven architectures, and high-throughput processing pipelines
Domain
Digital assets, crypto, and data center infrastructure
Deliverable
infrastructure
Required skills
Python or Java, AWS, Kubernetes, Terraform, Kafka, Databricks/Spark, dbt, Airflow, data modeling, CI/CD, observability
Preferred skills
Streaming engines (Flink, kdb), commercial system lifecycle development, crypto industry experience
Technologies
AWS, Kubernetes, Terraform, Kafka, Databricks, Spark, dbt, Airflow, Postgres, SQL Server
Responsibilities
Build and maintain tooling for autonomous data pipelines; Own monitoring, alerting, and dataops practices; Operate Kafka for event-driven architecture; Deploy infrastructure with Terraform and Kubernetes; Run high-throughput processing on Databricks/Spark; Support dbt and Airflow; Troubleshoot production issues; Champion AI adoption for team performance.
