📋
Description
- At Cube, we’re redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents.
- Our platform empowers AI agents with a universal semantic foundation — enabling autonomous analytics at scale while maintaining the same consistency, security, and performance across BI tools, spreadsheets, and embedded applications.
- As a Solutions Architect at Cube, you'll be the technical bridge between our product and customers' data infrastructure.
- You'll work hands-on with prospects and customers across industries to design, implement, and optimize semantic layer architectures that solve complex data challenges.
- This is a highly technical, customer-facing role where your SQL expertise and data analysis skills will have a direct impact on customer success.
- Responsibilities include designing end-to-end solutions with data warehouses like Snowflake, BigQuery, Redshift; building data models; developing proof-of-concepts; guiding best practices; leading discovery sessions; conducting workshops; writing complex SQL queries; building integrations; creating documentation; providing feedback to product teams; and developing reusable patterns.
- The ideal candidate has expert-level SQL skills, strong data analysis capabilities, programming experience in JavaScript or Python, 3+ years in solutions architecture or related roles, deep understanding of modern data stacks, experience with semantic layers, and strong communication skills.
- Valued experience includes Cube.js, data modeling, APIs, caching strategies, cloud data warehouses, and data governance.
- Nice-to-haves include embedded analytics, open-source contributions, and AI/LLM integration.
- Success is measured by customer deployment, satisfaction, complex data modeling, and proactive expansion.
- Join Cube to work with cutting-edge semantic layer technology, collaborate with passionate teams, and make a significant impact on data access for thousands of companies.
- We offer a remote-friendly culture with flexible work arrangements.
🏖️
Benefits
- Remote-friendly culture with flexible work arrangements.
- Opportunity to work with cutting-edge semantic layer technology at the intersection of data engineering, analytics, and AI.
- Collaborate with a passionate team including the creators of the open-source Cube Project.
- Make a direct impact on how thousands of companies organize and access their data.
- Competitive compensation.