About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZenica, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
Analytics is entering an agentic era.
As a Senior Software Engineer on Agentic Automation & ADLC Systems, you will build the autonomous and assisted agents that operate across the Analytics Development Life Cycle (ADLC) — from requirements to deployment to remediation.
These agents don’t just automate tasks. They reason over enterprise context, act on data products, and leave behind decision memory that improves the system over time.
What You’ll Do- Build agentic systems that automate analytics workflows across the ADLC
- Design and implement agents for:
- Requirements & intent capture
- Build & validation
- Test & deploy
- Operate, observe, and remediate
- Orchestrate agent workflows using event-driven triggers
- Integrate agents with ingestion and transformation workflows
- Encode governance and decision policies into automation
- Ensure every agent action is explainable, attributable, observable and auditable
- Balance autonomy with human-in-the-loop controls
- Agent behavior and orchestration logic
- ADLC automation workflows, governance expressed as executable logic
- Agent interaction with the Context Platform
- Safe auto-remediation and escalation paths, observability and feedback/recovery loops
- Context storage or schema design
- Low-level platform security primitives
- Long-term data durability decisions
(You consume these via the Context Platform.)
What We’re Looking For- Strong experience in backend, platform, or systems engineering
- Experience building automation, workflows, or orchestration systems, familiarity with event-driven architectures
- Understanding of data/documentation tools, integration nuances, their information systems.
- Hands-on experience building systems with LLMs or agentic systems (practical, production-minded)
- Strong intuition for safety, failure modes, and guardrails, AI observability
- Exposure to working with structured, semi-structured and unstructured data.
- Experience with CI/CD or developer tooling
- Familiarity with analytics engineering or dbt
- Experience integrating with human workflow tools (GitHub, Slack, Jira, Notion)
- Background in reliability/resilience engineering
If these agents are built correctly:
- Analytics workflows accelerate without losing trust
- Governance becomes proactive, not reactive
- Humans focus on decisions, not plumbing
This role turns context into action.
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
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. RSUs or comparable benefits may be offered depending on the legal or country limitations.
Top Skills
What We Do
At dbt Labs, we make data work. Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines. By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale.
dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.
Why Work With Us
At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.
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