Get to Know Our Team
The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

In this role as Data Architect, you will be working alongside of BI Analysts and business stakeholders to enable the Supply Products and Management of Agoda with actionable data to drive better decision making. You will be integral in the design and implementation of reliable, performant and scale-able data intelligence solution to overall improve our data warehouse architecture, business intelligence reporting, data automation solutions and data product developments

In This Role, You'll Get to

• Design and develop large and complex data warehouse architecture including sourcing of new data sources, developing ETL solutions, driving automation of data solutions and building reliable data models
• Oversee end-to-end ownership of data projects and independently collaborate with engineering, product and business stakeholders in an agile environment to solve business problems
• Optimize data management, improve data quality and governance and implement best practices across data landscape of Supply data warehouse
• Explore and experiment in application development to challenge existing development processes to drive data automation and usage

What You'll Need to Succeed

• At least 5 years of experience working in a data engineering / ETL / DWH developer function
• Strong education background with degrees in Engineering or Information Systems (preferred)
• Experience building and optimizing 'big data' data pipelines, architectures and data sets
• Knowledge of big data tools, such as Spark, Kafka, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with non-relational databases
• A self-motivated, driven, flexible, quick learning, high achieving, "can do" mentality
• An ability to work well independently and as part of a team

It's Great If You Have

• Experience with large scale data platforms (GCP, S3, Hadoop, etc.) and modern data warehouse technologies (e.g. Redshift, Snowflake, etc.)
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
• Experience with object-oriented/functional script languages, such as Python, Scala, C++ etc.
• Experience with BI client tools such as Tableau and Power BI and platform