- Remote, United States
- Remote
- Full-time · Mid
- 3+ years
A technical bridge between product and customers' data infrastructure, designing, implementing, and optimizing semantic layer architectures to solve complex data challenges.
Responsibilities
- Design and architect end-to-end semantic layer solutions using Cube, integrating with customers' existing data warehouses (Snowflake, BigQuery, Redshift).
- Build comprehensive data models in YAML or JavaScript that define metrics, dimensions, and business logic.
- Develop proof-of-concepts and technical demonstrations on customer data, and lead technical discovery sessions to understand data architecture and requirements.
- Guide customers on best practices for data modeling, caching strategies, access control, and performance optimization.
- Run hands-on workshops and training to enable customer teams, and partner with Sales to provide technical expertise during the evaluation process.
Requirements
- Nice to have: Cube.js
- Nice to have: LookML
- Nice to have: dbt metrics
- Nice to have: Dimensional modeling
- Nice to have: REST/GraphQL APIs