Jobs at dbt Labs
Must have skills
Good to have skills
About this Opportunity
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 Astra Zenica, 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.
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.
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.)
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.
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.
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