VP, Data Engineer
Core
Design, build, and operate scalable production data platforms and infrastructure enabling autonomous data pipelines and event-driven architectures.
Role type
VP, Data Engineer (hands-on IC with leadership scope)
Builds
Production data platforms, event-driven systems, and infrastructure tooling for data teams
Domain
Digital assets, crypto, and data center infrastructure
Required skills
Python, Java, AWS, Kubernetes, Terraform, Kafka, Databricks/Spark, dbt, Airflow, data modeling, CI/CD, observability
Preferred skills
Dashboarding technologies, streaming engines (Flink, kdb), full lifecycle commercial system development, crypto industry experience
Technologies
AWS, Kubernetes, Terraform, Kafka, Databricks, Spark, dbt, Airflow, Postgres, SQL Server
Responsibilities
Build and maintain tooling for autonomous data pipeline shipping; own monitoring, alerting, and dataops practices; operate Kafka for cross-team event-driven architecture; deploy and maintain infrastructure components with Terraform and Kubernetes; run high-throughput processing on Databricks/Spark; support dbt and Airflow for transformations and orchestration; partner with product and analytics teams on platform improvements; troubleshoot production issues; champion AI adoption for team performance.
Seniority
VP, hands-on IC with strategic oversight
