4 months ago
Base Salary
$207k - $275k/yr
Responsibilities
- Define company-wide strategy for data modeling, semantic layers, enterprise metrics, and reusable data products.
- Set architectural standards for lakehouse organization, schemas, metadata, governance, and serving patterns.
- Design frameworks for data quality, lineage, observability, access control, and policy enforcement.
- Lead architecture of complex cross-domain data systems spanning operational, financial, product, people, and infrastructure data.
- Establish data contracts, system boundaries, and reusable engineering patterns across teams.
- Identify and resolve performance, reliability, and scalability constraints across the data ecosystem.
- Lead architecture reviews and align high-impact initiatives with broader platform strategy.
- Evaluate and standardize technologies for processing, orchestration, cataloging, modeling, and metadata management.
- Mentor senior engineers and improve system design and technical decision-making across the organization.
Requirements
- 10+ years of experience in data engineering, software engineering, distributed systems, or data architecture roles.
- Experience setting technical direction for data systems spanning multiple teams, business domains, or platforms.
- Deep expertise in dimensional modeling, Data Vault, semantic modeling, and governed metrics.
- Experience designing and operating large-scale lakehouse or streamhouse architectures.
- Advanced knowledge of distributed OLAP, query, processing, and ingestion systems.
- Expert-level SQL and strong programming expertise in Python, Scala, Java, or Rust, with experience building production-grade data systems.
- Experience implementing lineage, profiling, metadata management, data quality controls, access policies, or auditability.
- Ability to turn ambiguous problem statements into clear technical direction and execution plans.
- Track record of leading cross-cutting architecture and establishing standards adopted across multiple engineering teams.
- Preferred experience with SOX, GDPR, MNPI, PII controls, event-driven architectures, streaming platforms, Kubernetes, and high-growth cloud, infrastructure, or distributed-systems organizations.
Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for US-based offerings.
- Company-paid life insurance, supplemental life insurance, short- and long-term disability insurance, FSA, and HSA.
- Tuition reimbursement and eligibility to participate in the Employee Stock Purchase Program.
- Mental wellness benefits through Spring Health and family-forming support through Carrot.
- Paid parental leave and flexible childcare support through Kinside.
- 401(k) with employer match and flexible PTO.
- Catered lunch at office and data center locations.
- Casual work environment and a culture focused on innovative disruption.
- Benefits vary for roles outside the US and are shared during the hiring process.
Tech Stack
Categories
Data Engineering
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.