Data analytics architect

Samsung

$120K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 8 years in software architecture for scalable, distributed systems
  • Deep knowledge of the Hadoop stack (e.g., MapReduce, HDFS, Hive)
  • Strong Java programming skills
  • Familiarity with both Business Intelligence frameworks and ETL tools
  • Experience in architectural system design with REST principles
  • Knowledge in machine learning and related libraries (e.g., Weka, Sci-kit)
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

Responsibilities

  • Collaborate with business analysts and data scientists to gather solution requirements
  • Design scalable data analytics platforms and corresponding solutions
  • Make architectural decisions for evolving the data analytics ecosystem
  • Assess and select technologies for integration into the big data platform
  • Support the development lead in identifying key architectural requirements
  • Design APIs for the big data platform
  • Mentor and guide developers within the data analytics team

Benefits

  • Opportunity to work with cutting-edge Big Data technologies
  • Engage in a collaborative, iterative development environment
  • Potential for career growth within a global leader in data analytics
  • Flexible work culture promoting self-driven initiatives
  • Exposure to a diverse set of technologies and frameworks
Full Job Description
We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment. Location: San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; • Design scalable data analytics platform and solutions; • Make architectural decisions for the data analytics platform and solutions; • Assess, benchmark and select data analytics technologies to be added to the big data platform; • Support development lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and mentor developers in the data analytics team; Skills: Required • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper); • Experience with Business Intelligence frameworks and ETL tools; • Proficiency in the Java programming language; • Proficiency in the Unified Modeling Language; • Experience with RDBMS and SQL; • Experience architecting systems following the REST architectural style; • Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit); • Practical experience with the Scala programming language (desirable); • Practical experience with the Play web framework (desirable); • High-level knowledge on the Spark eco-system; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required Additional Information Tanya Danylevska Human Resources Samsung SDSA

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