Posted on: 28/10/2026
About us :
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 is about more than function, it is about saving time and simplifying the experience of travel for everyone.
Travel is more than a journey; it is how you Arrive.
As Arrive, we guide customers and communities towards brighter futures and more liveable 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 travellers 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.
Role Overview :
We are looking for a lead data platform engineer to combine platform thinking and DevOps practices to improve how data is produced, managed, and consumed across Arrive.
In this role, you will lead through standards implementation and adoption, influencing the data platform's architecture and evolving our systems through code.
In this role, you will build platform capabilities that make data more reliable, discoverable, and self-serve for internal teams.
You will work on the infrastructure, tooling, and operational 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 will 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 tooling and documentation-as-code
- Apply DevOps practices to data platforms, 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 AI-assisted workflows to improve data platform operations, developer productivity, documentation, and support for internal data users.
Required Skills Experience :
- Have 9+ 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 CI/CD, and care deeply about reproducibility, reliability, and team enablement
Good to Have skills :
- Experience running platform services on Kubernetes
- Experience using Helm to manage deployments
- Experience building internal developer platforms or self-service tooling
Why Join Arrive? :
- Work on global-scale payment systems impacting millions of users.
- Be part of a growing India engineering team with strong ownership.
- Collaborate with diverse, international teams.
- Opportunity to influence architecture, strategy and team growth.
- Build technology that directly improves urban mobility and sustainability
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1680877