Senior Data Architect, CoreWeave

• We’re seeking a skilled Senior Data Architect to lead the development of foundational data models that empower our Business Intelligence Engineers, analysts, and data scientists to efficiently work with and gain insights from our enterprise data across capacity, infrastructure engineering, and supply chain
• 10+ years of experience working in a Cloud hyperscaler environment with a solid understanding of supply chain, capacity, and infrastructure engineering domains
• Ability to thrive in a fast-paced, complex, work environment tackling hard problems
• Hands-on experience applying Kimball Dimensional Data Modeling principles to large datasets
• Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC
• Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift)
• 5+ years of programming experience in Python or Scala
• Experience transforming raw source data into high-quality data warehouse dimensions and facts using a transformation tool such as DBT
• Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries
• Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink
• Preferred: Professional Cloud Architect certification

• The Data Warehouse & Analytics team builds foundational datasets and analytics services that enable BI and data science across CoreWeave’s cross-functional domains
• We seek to democratize insights and foster a culture where data-driven decision-making thrives at every level
• This role will own the creation and maintenance of star and snowflake schemas within our lakehouse environment and set the standards for dimensional modeling best practices
• The architect will also create and optimize key datasets and metrics essential to tracking business health
• Develop and maintain business transformation rules and data models, including star and snowflake schemas, to support analytical needs across the organization
• Establish and enforce best practices for dimensional modeling in our Lakehouse
• Architect and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC)
• Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics
• Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift
• Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure
• Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink
• Develop BI / GenBI dashboards that answer key questions of stakeholders using tools like Grafana and Tableau

• Medical, dental, and vision coverage
• Life and disability insurance
• Flexible Spending Account
• 401k with employer match
• Flexible PTO
• Catered lunch
• Kinside Childcare Concierge Service
• Gym reimbursement

Total funding: $1.7bn

Many cloud service providers can suffer from slow prediction speeds when they are used for data modeling. CoreWeave solves this problem with its specialized cloud service provider.