Staff Software Engineer, Metadata

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

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During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About 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.

This is a full-time, fully remote position.

Technologies You'll Use

Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog

What You'll Do

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

Skills We're Looking For

8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion

Deep expertise designing and owning subsystems in distributed, cloud-based systems

Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership

Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs

Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint

Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices

Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance

Proficiency in a modern backend or systems language such as Python, Java, C++, or C#

Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure

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

Bonus Skills

Experience in data processing (ETL, ELT) and/or cloud-based data platforms

Experience architecting metadata, catalog, lineage, or discovery/search systems

Experience with GraphQL APIs and high-throughput, multi-tenant data services

Familiarity with the analytics engineering workflow and the dbt ecosystem

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Oakland Pay Range

$162,157.50—$198,877.25 USD