Fivetran and dbt Labs are merging, bringing together two industry leaders with a shared goal: to help organizations maximize the value of their data. Together, they are creating the data infrastructure layer that facilitates data movement, transformation, and trust, from initial movement through every transformation to the context needed by teams and AI systems. Fivetran specializes in automating data movement across various systems and clouds, while dbt Labs pioneered analytics engineering, enabling teams to transform data into reliable, governed insights. This combined entity supports thousands of organizations in building a trusted foundation for analytics, AI, and informed business decisions. The integration aims to create a company with the scale, talent, and technology to empower more organizations to leverage their data with increased speed, confidence, and impact. During this transition, candidates may encounter references to both Fivetran and dbt Labs in the recruitment process as teams, systems, and career sites are integrated. This role seeks a senior-level technical leader responsible for architecting, building, and leading the Semantic Layer. This service transforms raw warehouse data into consistent, reusable metrics and analytical models that customers can trust across their organization. The position will drive the architecture and long-term technical direction of the semantic layer, enhancing its performance, reliability, and analytical capabilities to enable customers to query their data effectively and receive fast, accurate answers. Responsibilities span designing modeling and query semantics, building and optimizing the query execution engine, and operating sync and compute services on a global Kubernetes compute cluster. The role also includes ensuring the technical excellence of the team and its services through code reviews, architectural design contributions, and mentoring junior colleagues.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed