Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.
This role is open to candidates located in Ireland.
We’re looking for an experienced to help us build out a new multi-tenant offering in Azure. Over the past year, we have built a next-generation cell-based architecture, and we are now ready to create a highly-available, highly scalable offering in Azure that is at parity with our AWS offering. We have long hosted enterprise customers in Azure single-tenant deployments and have a clear view of what success looks like as we expand to multi-tenancy.
You’ll be joining a collaborative team of engineers creating a reliable and performant infrastructure platform. As a on the team you will prioritize and tackle problems as they arise, working iteratively with internal and external stakeholders to deliver a great developer experience and stability for our clients. Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. Your work directly impacts dbt Lab’s mission by expanding the organizations we serve and the data practitioners we reach.
- Building a highly reliable, highly performant application infrastructure on Azure through the lens of creating high-value multi-cloud abstractions
- Leverage a variety of languages and technologies: Golang, Python, Kubernetes, Terraform, Helm
- Drive scaling and automation initiatives across our cloud platform, contributing to quality and developer productivity
- Work across our entire product slate to ensure quality and performance, sometimes diving deep to evolve how features work
- Partner with teams throughout Engineering, Product, and Design
- Have 5+ years experience in software engineering, including production experience supporting SaaS applications deployed on Azure
- Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.)
- Completed enrollment in engineering related bootcamp
- Have designed, deployed, and supported infrastructure for distributed cloud applications including containerized workloads in production on Azure
- Have a deep sense of empathy for developer experience and a drive to build solutions that enable our product teams to own and operate their features in multiple clouds
- Are eager to collaborate across team and group boundaries to aid the delivery of new offerings - both your team’s new deployments and the new features being built by our product teams
- Have the ability to break down complex technical concepts and communicate them to business stakeholders
- Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive
- You have experience working in multiple Cloud environments (AWS, Azure, GCP)
- Scaled a SaaS B2B product at a fast moving ISV startup
- Have excellent written communication skills
Compensation and Benefits:
- €84,000-€110,000 Euro
- dbt Labs offers:
- Unlimited vacation (and yes we use it!)
- 401k w/3% guaranteed contribution
- Excellent healthcare
- Paid Parental Leave
- Wellness stipend
- Home office stipend, and more!
- Interview with a Talent Acquisition Partner
- Technical Interview with Hiring Manager
- Team Interviews
- Final interview with leadership team member
#LI-KR1
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 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 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.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.
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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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