Added by on 2015-06-11

Rockstar Games Recruiting Architect

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Architect – Business Intelligence & Analytics

Category: Other
Company: Rockstar Games
Location: San Diego (United States)
Start Date: immediately

Job Description

As a Big Data Architect you will work primarily with the business and engineering teams. You will be responsible for providing design, architecture and prototype models. Your primary role will be designing and architecting the Business Intelligence and Analytics Platform for Rockstar Games. You must have prior experience in Big Data architecture, design and engineering.
Your primary role will be designing and architecting the BI & Analytics platform. You should have prior experience in RDBMS and NoSQL technologies, including design and architecture, data modeling, administration, tuning and programming. The ideal candidate will have a passion for data and the technologies required to store, transform and query large volumes of varying data sources in order to drive insights and also data driven applications. The Architect must possess strong ownership qualities and be service oriented. Experience in the game industry is not required, but a passion for gaming is a huge plus.


Data Modeling, logical and physical.
Design & Architecture.
Prototyping and engineering.
Capacity planning.
Provide leadership and guidance to stakeholders and engineers.
Strong communicator.


Must have at least 3 years of experience designing and developing ETL/ELT & data pipelines.
Must have a proven track record as a data warehouse architect, with at least 5 years of experience in that capacity.
Very strong data modelling experience.
Very strong understanding and experience with Hadoop based storage models, such as Avro, Parquet, Hbase and schema evolution.
Extensive knowledge about various messaging solutions such as Flume, Kafka, RabbitMQ, ZeroMQ.
Must possess prior experience working on an interdisciplinary analytics team consisting of statisticians, data scientists, analysts and engineers.
Must possess advanced SQL skills and in depth knowledge of analytical functions.
Expertise in storage, servers, operating systems.
Strong understanding of querying interfaces such as SQL, Hive, Impala, etc.
Solid understanding and proficiency in one or more of the following engines are highly desirable: Vertica, Hadoop, Composite, Pentaho.
Proficiency in one or more of the following Python, Java, Scala.

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