A natural match if you have experience building scalable data platforms with Snowflake and Terraform. The role emphasizes collaboration across 100+ teams and a focus on self-service tooling in a global, multi-region environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Arrive via Ashby
We’ve signed up to an ambitious journey. Join us!
As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.
About the Role
We are looking for an engineer who can combine data engineering, platform thinking, and DevOps practices to improve how data is produced, managed, and consumed across Arrive. In this role, you will build platform capabilities that make data more reliable, discoverable, and self-serve for internal teams. You'll work on the infrastructure, toding, and operation practices that help data users move faster with confidence. You will help us drive further a global multi- region platform that supports 700 annual users on Snowflake, across 100+ teams.
What You'll Do
· Design and manage Snowflake infrastructure using Terraform, including access control, resources management, features addition and cost optimization.
· Improve the developer experience for data teams through self-service toding and documentation-as-code.
· Enable teams to onboard datasets, build pipelines, and access trusted data with minimal manual support.
· Apply DevOps practices to data including CI/CD for dbt projects, infrastructure-as—code, automated testing, and reproducible environments Design, deploy, and optimize Airflow infrastructure to support reliable data workflows at scale.
· Measure platform adoption, gather feedback from internal users, and continuously reduce friction.
· Explore and apply Al-assisted workflows to improve data platform operations, developer productivity, documentation, and support for internal data users
You will Thrive in This Role If You
· Have 6+ years of experience in data engineering, platform engineering, or DevOps, with a strong focus on reliable, scalable data platforms.
· Have practical experience with tools and practices such as Terraform, dbt, Snowflake, and CIICD, and care deeply about reproducibility, reliability, and team enablement
Nice to Have
· Experience running platform servies on Kubernetes
· Experience using Helm to manage deployments
· Experience building internal developer platforms or self-service tooling
ABOUT ARRIVE
Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive.
Source: Arrive careers (Ashby)