RemoteFull timeMid level$162k – $199kPosted today
Apply with JobAssistAbout the role
- Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies
- We’re looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing
- As a Staff Software Engineer, you’ll contribute to the technical direction for the team
- You’ll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team
- You’ll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship
- Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
- Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
- Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
- Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
- Drive technical initiatives across the team’s responsibility areas — discovery API, catalog, lineage, and run history
- Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
- Coach and mentor engineers, demonstrably improving the quality of code across the team
- Write technical specs, document common components, and keep the team accountable for necessary project documentation
- Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
- Participate periodically in the on-call rotation
- Technologies You’ll Use:
- Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog- Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
- Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
- 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
- Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
- Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
- Deep expertise designing and owning subsystems in distributed, cloud-based systems
- Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
- Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
- Experience in data processing (ETL, ELT) and/or cloud-based data platforms
- Familiarity with the analytics engineering workflow and the dbt ecosystem
- Experience with GraphQL APIs and high-throughput, multi-tenant data services
- Experience architecting metadata, catalog, lineage, or discovery/search systems
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