Data Analytics Architect - Scale Big Data Platform

Samsung SDSA

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Samsung SDSA in San Jose, CA is seeking a Senior Software Architect with at least 8 years of experience in designing scalable, distributed systems. The role involves providing architectural guidance to the analytics team building a Big Data Platform and requires expertise in Hadoop and Java.

Successful candidates will collaborate closely with business analysts and data scientists, and will be responsible for making architectural decisions, mentoring developers, and ensuring the high performance of data analytics solutions.

Qualifications

  • At least 8 years of experience in designing scalable, distributed systems.
  • Self-driven, able to identify and fix problems in a fast-changing environment.

Responsibilities

  • Collaborate with business analysts and data scientists to articulate solution requirements.
  • Design scalable data analytics platforms.
  • Make architectural decisions for data analytics solutions.
  • Select appropriate data analytics technologies for the big data platform.
  • Mentor developers in the analytics team.

Skills

Knowledge of the Hadoop stack
Experience with Business Intelligence frameworks
Proficiency in Java
Proficiency in Unified Modeling Language
Experience with RDBMS and SQL
Experience architecting RESTful systems
Experience with machine learning libraries
Knowledge of the Spark eco-system

Education

B.Sc. in Computer Science or related field

Job description

Samsung SDSA in San Jose, CA is seeking a Senior Software Architect with at least 8 years of experience in designing scalable, distributed systems. The role involves providing architectural guidance to the analytics team building a Big Data Platform and requires expertise in Hadoop and Java.

Successful candidates will collaborate closely with business analysts and data scientists, and will be responsible for making architectural decisions, mentoring developers, and ensuring the high performance of data analytics solutions.

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