Staff Data Architect

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.  

CoreWeave powers the creation and delivery of the intelligence that drives innovation. 

What You’ll Do:

The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We seek to democratize insights and foster a culture where data-driven decision-making thrives at every level.

About the Role:

We are seeking a Staff Data Architect to lead the design and implementation of our enterprise data architecture. This role will define our modeling standards, govern the semantic layer, and ensure architectural consistency across our Lakehouse platform. As a senior technical leader, you’ll bridge data engineering, analytics, and business strategy—making CoreWeave’s data usable, discoverable, and reliable at scale.

In this role, you will:

• Architect the company-wide dimensional modeling and semantic layer strategy.
• Define and enforce standards for data modeling, documentation, naming, and governance.
• Guide the evolution of our Lakehouse architecture, including Iceberg/Delta formats, catalog integration, and data zone partitioning.
• Establish scalable frameworks for data lineage, observability, and data quality enforcement.
• Partner with Data Engineering, BI, and Product teams to design reusable data assets and semantic models.
• Provide architectural leadership on schema evolution, schema versioning, and multi-domain data design patterns.
• Evaluate and standardize tools for data cataloging, modeling, and metadata management.
• Mentor senior engineers and lead architectural reviews of data-intensive projects.

Who You Are:

• 10+ years of experience in data engineering, software engineering, or architecture roles.
• Expert in enterprise data modeling (Kimball, Data Vault, or hybrid) and semantic modeling best practices.
• Deep experience designing and operating scalable data lakes or Lakehouses (Iceberg, Delta Lake, or Hudi).
• Strong knowledge of MPP and OLAP systems such as StarRocks, Snowflake, BigQuery, or Redshift.
• Track record of implementing data governance frameworks and semantic layer strategies.
• Hands-on experience with modern orchestration, processing, and modeling tools (Airflow, Spark, dbt, etc.).
• Exceptional SQL skills and strong programming ability in either Python, Scala, or Java.
• Excellent cross-functional communication and leadership skills, with the ability to drive alignment across stakeholders.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base pay and target total cash for this position range from $188,000 to $250,000 and 225,600-300,000, accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Thi