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Play a key role in building our platform from zero to one. Partner across teams and disciplines to design and deliver solutions that shape the future of data, while mentoring others and influencing our technical direction. Shape the future of dbt’s Compute platform—a new type of analytical query engine. By leveraging dbt’s ability to anticipate and optimize query execution from ingestion to consumption, you’ll help build a truly differentiated system that sets us apart from other database technologies.
Job Responsibility:
Design, build, and maintain the Compute layer that powers dbt’s ability to optimize queries across ingestion, transformation, and consumption
Lead technical architecture discussions with a focus on query engines, storage systems, and distributed database design
Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions
Build services, APIs, and experiences that support user delight, quality, high availability, and performance
Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals
Define and drive best practices in testing, observability, and system reliability
Mentor engineers across the company, fostering technical growth and collaboration
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains
Requirements:
10+ years of experience in software engineering, with expertise in database systems, query engines, or storage systems
Strong coding skills at the systems level C++, Rust, Go, Python, or Java
Experience designing and scaling distributed systems or SaaS platforms
Expertise with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform)
Proven ability to lead complex projects and collaborate across functions
Excellent problem-solving skills, clear communication, and a strong sense of ownership
Nice to have:
Contributions to open source database technologies projects such as Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems
Experience with performance optimization, observability, or large-scale query engines
Exposure to data engineering tools or modern frontend frameworks (React, TypeScript)
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