Senior Full Stack Engineer, Metadata

About Us

The Metadata team empowers data engineers and analysts through dbt Explorer, helping them discover, evaluate, and enrich dbt assets. As a platform team, we also provide essential search and discovery APIs that enhance user experiences across other dbt products, including Query Page and Visual Editor.

We’re looking for a Senior Full Stack Engineer to join our team focused on building the backbone of our data catalog and integration platform. This role blends strong backend expertise with an appreciation for crafting user-facing experiences that surface complex metadata in intuitive, actionable ways.

You’ll play a key role in developing scalable systems that unify metadata across BI tools, data warehouses, and streaming platforms—while also contributing to the UI and API layers that power discovery, lineage, and platform connectivity. If you’re passionate about bridging systems, writing clean code, and delivering polished full-stack solutions that solve tough data problems, this role is for you.

What You’ll Do

• Build and maintain data catalog infrastructure that connects with BI tools, warehouses, and metadata platforms
• Develop and own full-stack features, from backend services and data integrations to APIs and web interfaces
• Create and maintain platform connectors and adapters to unify data and metadata across sources
• Generate and expose data lineage to end users through intuitive, performant UI components
• Design, implement, and iterate on backend APIs and frontend features for navigating metadata at scale
• Collaborate with product, design, and other engineering teams to develop user-focused metadata experiences
• Help define integration standards and best practices for cross-platform data workflows

What We’re Looking For

• Experience building full-stack applications, with emphasis on backend services and API design
• Proficiency in Python, along with frontend development experience in React (or similar frameworks)
• Deep understanding of metadata systems, data lineage, and integration patterns
• Familiarity with Kubernetes, microservices architecture, and backend performance optimization
• Experience with RabbitMQ, Kafka, or other messaging systems, and Elasticsearch for metadata search
• Demonstrated ability to map and model data relationships across platforms
• A user-centered mindset and ability to turn complex backend logic into thoughtful UI/UX

Nice to Have

• Experience with open-source metadata tools (e.g., OpenMetadata, DataHub, OpenLineage)
• Prior exposure to analytics engineering tools like dbt, or modern BI tools (e.g., Looker, Tableau)
• Contributions to system-level architecture and a passion for technical mentorship

Compensation & Benefits

• Salary: 375,000 - 475,000 BRL
• Equity Stake
• Benefits - dbt Labs offers:
  • Unlimited vacation (and yes we use it!)
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!

*Equity or comparable benefits may be offered depending on the legal limitations

What to expect in the hiring process (all video interviews unless accommodations are needed):

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Team Interviews
4. Final interview with one of our Values Carriers

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

• Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
• Data analysts should adopt similar practices and tools to software developers
• Critical analytics infrastructure should be controlled by its users as open source software
• Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and 5,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.