Senior Data Solutions Architect

2 days ago


Redmond, Washington, United States Microsoft Corporation Full time
About Xbox Game Studios
Xbox Game Studios is a renowned developer of AAA games, and as a Senior Data Engineer, you will be part of an agile team within the Quality department. This team tackles a wide range of problems throughout the game development process, working with major franchises such as Halo, Forza, Gears of War, and Microsoft Casual Suite.

You will collaborate with Data Scientists, Applied Scientists, Software Engineers, and Quality Engineers to find innovative ways to incorporate data solutions into the game development pipeline. This includes flexible work-from-home options, ensuring a perfect blend of remote and in-office collaboration.

As a Senior Data Engineer at Xbox Game Studios, your primary responsibility will be to develop and maintain data pipelines, including solutions for data collection, management, transformation, and usage. You will ensure accurate data ingestion and readiness for downstream analysis, visualization, and AI model training.

Your role involves designing and implementing end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation. You will write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health.

In addition, you will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies. You will also implement and enforce security and access control measures to protect sensitive resources and data.

This position requires close collaboration with Product Managers, Data and Applied Scientists, Software and Quality Engineers, and other stakeholders to understand data requirements and deliver phased solutions that meet test and quality programs' data needs, and support AI model training and inference.

The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field, along with 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering work.

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