Senior / Staff Data Platform Engineer

What you will do:

• Collaborate with engineering, product, and data teams to design and develop a real-time data streaming platform that supports the business goals of the company
• Define, implement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications
• Develop data models and architecture for real-time data processing and end-to-end streaming pipelines.
• Optimize and scale our data platform across multiple data centers using Hadoop based technologies
• Enable and support data engineers to simply and optimize data loading processes by providing abstraction layers and ensuring optimal data infrastructure and reliability..
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Implement and enforce data governance and security policies and procedures to ensure compliance with regulatory and company standards.
• Mentor and guide junior and senior data engineers and provide technical leadership in data engineering best practices.

What you will need:

• Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 5+ (Senior) / 8+ (Staff) years of engineering experience
• Strong programming skills (Python and/or Java preferred) and experience with data infrastructure components including Kubernetes and Docker.
• Deep knowledge of distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, Presto, Druid/Imply.
• Ability to consider and negotiate trade-offs of different designs to meet use case requirements in the area of distributed and streaming systems
• Experience with DevOps practices, CI/CD, and SRE mindset.
• Proven track record of designing and evolving scalable high-performance data platforms.
• Understanding of data mesh concepts and experience with embedding data engineering skills into product engineering teams.
• Ability to design and implement shared libraries and abstraction layers for both software engineers and data consumers.
• Excellent written and verbal communication in English (Thai is a plus)
• Based in or close to Thailand, or willing to relocate.

What we will give you:

• Hybrid remote work between our office at the T-One tower in Bangkok, WeWork locations, and home
• Extraordinary place to learn and develop within a fast growing business
• Great perks as a baseline, such as staff coupons and pension contributions