Staff Data Engineer (Data Engineering)

Join CoreWeave, a leading cloud provider specializing in GPU-accelerated workloads. As a Staff Data Engineer, you will define and drive the architecture of our enterprise data ecosystem, establish modeling and governance standards, and lead the architecture of complex, cross-domain data systems. You will have the opportunity to mentor senior engineers and raise the quality of system design and technical decision-making across the organization.

• Definir y liderar la arquitectura del ecosistema de datos de la empresa, estableciendo estándares de modelado, semántica, gobernanza y plataforma.
• Diseñar marcos escalables para la calidad de los datos, la línea de tiempo, la observabilidad, el control de acceso y la aplicación de políticas.
• Liderar la arquitectura de sistemas de datos complejos y transversales, identificando y resolviendo limitaciones sistémicas de rendimiento, confiabilidad y escalabilidad.
• Demonstrated ability to independently turn ambiguous problem statements into clear technical direction and execution plans
• Deep expertise in enterprise analytical modeling, including dimensional, Data Vault, semantic modeling, and governed metrics
• 10+ years of experience in data engineering, software engineering, distributed systems, or data architecture roles
• Demonstrated experience setting technical direction for data systems spanning multiple teams, business domains, or platforms
• Expert-level SQL and strong programming expertise in Python, Scala, Java, or Rust, with experience building production-grade data systems
• Advanced knowledge of distributed OLAP, query, processing, and ingestion systems such as StarRocks, ClickHouse, Trino, Spark, Flink, or Kafka
• Demonstrated experience implementing governance capabilities such as lineage, profiling, metadata management, data quality controls, access policies, or auditability
• Experience designing and operating large-scale lakehouse or streamhouse architectures using technologies such as Apache Iceberg, Delta Lake, Apache Hudi, Apache Paimon, or Apache Fluss
• Track record of leading cross-cutting architecture and establishing standards adopted across multiple engineering teams
• Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms
• Experience designing data systems that support compliance programs such as SOX, GDPR, MNPI, and PII controls
• Experience running data-intensive workloads on Kubernetes
• Experience in high-growth cloud, infrastructure, or distributed-systems organizations
• You love designing, implementing, and operating data platforms and distributed systems at extreme scale
• You're energized by solving ambiguous, cross-domain technical problems and turning them into clear, durable solutions
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk
• You enjoy raising the quality of engineering through thoughtful architecture, standards, and mentorship