Job Description

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 :

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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

Key Qualifications:

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

Pre-Requisites :

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Are you game?