Lead Data Engineer

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.

As a Lead Data Engineer at Arrive, you are a technical cornerstone of our new Bengaluru data hub and a founding member of the team. You don't just build models - you architect the patterns and standards that define how Arrive turns raw data into trusted sources of truth. Working within a Medallion architecture (Bronze, Silver, Gold) on top of a shared data platform (Snowflake, dbt, Fivetran Airflow, AWS), you will lead the evolution of our data models, transforming complex data streams from disparate source systems - many inherited through acquisitions - into unified, high-integrity datasets.

At Arrive, data is owned by the domain teams that produce it; your role is to enable those producers and build the modeling layers that the entire organization relies on. You will balance hands-on engineering with mentoring your peers and establishing a culture of technical excellence. By championing clarity over control and bringing genuine curiosity to legacy systems, you ensure Arrive's data is the strategic catalyst for the future of urban.

Key Responsibilities: • Architect the Medallion: Lead the design and evolution of our global data models (Bronze, Silver, Gold). You define the dbt patterns, macros, and testing suites that ensure our Gold layer is the definitive global source of truth.

• Mentor and Elevate: Act as a technical mentor for Data Engineers in Bengaluru. You lead by example through high-quality code reviews, pair programming, and fostering shared knowledge - embodying "Arrive Together" in how you work.

• Modernize with Intent: Take ownership of complex brownfield data models inherited from global acquisitions. You unravel legacy transformation logic and refactor it into scalable, well-documented models without disrupting downstream consumers.

• Enable Data Producers: Work with domain engineering teams to improve data quality at the source. You help producers understand how their data flows through the Medallion layers and what "good" looks like.

Translate Ambiguity: Act as a technical consultant to product and business stakeholders. You translate high-level business questions into scalable modeling approaches, ensuring we build the right things the right way.

• Drive Production Excellence: Define the standards for "Always-On"data modeling. You implement automated testing, data quality checks, and CI/CD best practices that set the bar for the entire team.

• Pioneer AI-Assisted Engineering: Lead the practical adoption of AI tools and agentic workflows to accelerate data documentation, quality checks, and modeling productivity.

• Collaborate with the Platform Team: Work closely with the Data Platform team (who operate Snowflake, Airflow, Fivetran, and AWS infrastructure) to ensure your modeling work leverages the platform effectively and feeds back requirements

Required Skills:

• Experience: 8+ years of professional experience in data engineering, with a focus on data modelling and transformation.

• Programming: Strong proficiency in SQL and Python for data processing and pipeline development.

• Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses.

• Data Modelling: Deep experience with dbt and modern data modelling practices. Strong understanding of ELT processes and architectural patterns such as Medallion architecture

• Data Platforms: Hands-on experience working with Snowflake or comparable cloud data warehouses

• Workflow Orchestration: Experience working with Apache Airflow or similar orchestration tools.

• Version Control & CI/CD: Experience using GitHub for version control, CI/CD workflows, and automated testing of data models and pipelines.

• Cloud Platforms: Familiarity with AWS services such as S3 and cloud-based data infrastructure.

• Communication: Excellent written and verbal communication skills, with the ability to collaborate effectively across global time zones and diverse cultures. Comfort working in a prestige-less, disagree-and-commit environment.

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.