Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.As a Senior Data Engineer, you will be responsible for leading technical initiatives in data engineering and AI data infrastructure, building scalable data pipelines, and supporting business domains like analytics, product optimization, and AI/ML applications. You will collaborate closely with stakeholders from various teams to understand data needs and deliver robust data solutions. This role will also expose you to cutting-edge AI/ML technologies as part of our innovation roadmap.Key Responsibilities:
- Lead the design and development of robust, scalable data pipelines for both traditional analytics and AI/ML workloads
- Build and maintain data architectures including data warehouses, data lakes, and real-time streaming solutions using tools like Redshift, Spark, Flink, and Kafka
- Implement and optimize data orchestration workflows using Airflow and data transformation processes using DBT
- Design and implement dimensional modeling solutions, leading dimensional modeling design initiatives
- Develop automated data workflows and integrate with DevOps/MLOps frameworks using Docker, Kubernetes, and cloud infrastructure
- Implement best practices for data governance, including data quality, security, compliance, data lineage, and access control
- Collaborate with data scientists, analysts, and business stakeholders to understand technical requirements and deliver reliable data infrastructure
- Demonstrate strong business sensitivity to ensure data solutions align with business objectives and requirements
- Support AI/ML initiatives by building feature stores, vector databases, and real-time inference pipelines
- Continuously explore and adopt new technologies in data engineering and AI/ML space
- Proactively drive new initiatives and mentor junior team members
- Bachelor's degree in Computer Science, Data Engineering, Statistics, or related field
- 5+ years of experience in data engineering with focus on scalable data architectures
- Expert proficiency in Python and SQL programming languages
- Hands-on experience with AWS Redshift, Apache Airflow, and DBT (Data Build Tool)
- Strong experience with big data frameworks: Apache Spark, Apache Flink, and Apache Kafka
- Solid understanding of Linux, Docker, and Kubernetes for containerization and orchestration
- At least one cloud platform experience (AWS preferred, but GCP or Azure acceptable)
- Proven experience in dimensional modeling design and implementation
- Strong business acumen with sensitivity to business requirements and ability to translate them into robust technical data solutions
- Fluent in English (reading, writing, and verbal communication)
- Experience in data governance including data quality, security, access management, and data lineage
- Foundational knowledge of AI/ML workflows, model deployment pipelines, and LLM integration patterns
- Demonstrated ability to lead technical initiatives and drive adoption of new technologies independently
- Strong analytical and communication skills with experience working across cross-functional teams
Nice to Have:
- Experience with OpenMetadata for data catalog and governance
- SQL Server database experience
- Experience in gaming, e-commerce, or fintech industries
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What We Do
Razer™ is the world’s leading lifestyle brand for gamers.
The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.
With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.
Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).
In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.
Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).
