Data Engineer, Senior Manager

CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds. Learn more at www.coreweave.com.

About the Role:

The Data Engineering Manager will oversee the design, development, and maintenance of our data lake, as well as manage our BIE team. This role requires a leader with a strong technical background, a proven track record in data engineering, and people management experience. The ideal candidate will have over 10 years of experience in the field, with a deep understanding of data architectures, ETL processes, documentation processes, data warehousing, and people management.

Key Responsibilities:

• Design and implement robust, scalable, and efficient data pipelines and workflows.
• Collaborate with Data Scientists, Business Intelligence Engineers, Data Engineers, and other stakeholders to understand data needs and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across all data systems.
• Develop and maintain documentation related to data architecture, processes, and standards.
• Stay current with industry trends and best practices, and integrate new technologies and methodologies as appropriate.
• Oversee the deployment and management of data warehousing solutions.
• Implement and manage ETL processes, ensuring optimal performance and reliability.
• Drive continuous improvement in data engineering practices, tools, and processes.
• Manage project timelines and resources effectively.
• Communicate effectively with technical and non-technical stakeholders, translating complex technical concepts into business terms.
• People management.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 10+ years of experience in data engineering, with at least 3 years at a manager level.
• Proven experience with data architecture, data modeling, and database design.
• Strong proficiency in SQL, Python, and other programming languages relevant to data engineering.
• Extensive experience with ETL tools (e.g., Apache Airflow, Talend, Informatica).
• In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services.
• Excellent problem-solving skills and attention to detail.
• Strong project management skills and the ability to manage multiple priorities in the face of …