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Big Data Architect

Torrance, California, 90501, United States
December 07, 2016

Position: Big Data Architect

Location: Torrance, CA 90501


Seeking a Big Data Architect to provide technical leadership on Big Data strategy, adoption, architecture and design, as well as data engineering and modeling.

The candidate will provide expert level guidance on Big Data best practices and standards. This position will work with product owners, business SME and data ingestion and reporting architects to identify requirements and consolidate enterprise data model consistent with business processes

Daily Tasks include:

Lead key business critical projects in the capacity of a Data Architect and Advisor

Review business requirements and technical design documents to develop effective data and database solutions

Support and Influence projects/initiatives and drive decisions related to data acquisition, processing and utilization through Big Data Platform

Define Data Architecture standards, best practices and participate in governance activities during Big Data projects

Create, maintain, and define Data Architecture artifacts based on Enterprise Architecture requirements

Develop and maintain technical roadmap for Enterprise Big Data Platform for different platform capabilities

Research, evaluate and recommend tools for Enterprise Big Data Platform


5 + years’ experience with Big Data and Big Data on Cloud Master Data Management and Data Governance

Bachelors' or Master's degree in Computer Science or applicable field of study

Strong familiarity with data management, data governance, and best practices

Highly competent with Data Lake concept and Big Data capabilities

Highly competent with data modeling with relational database design and SQL

Experience with Hadoop distributions (open source and commercial)

Experience in Java, Linux/Unix

Experience with Scala, R, and Spark

Experience with implementing Modern Data Warehouse / Data Lake

Strong aptitude to learn business processes/products and the role of data within business domain

Strong understanding of NoSQL data sources, their implementation and management

Strong experience in HDFS, Hive, Oozi, Yarn, Kafka

Strong understanding of Advance Analytics concepts

Expert level understanding of open source technologies around Hadoop ecosystem

Understanding of Advance Analytics concepts like Data Mining, Text Analytics, Stream Analytics, Machine Learning, Neural Networks, etc..

Familiarity with Analytic technologies like SPSS, SAS, Tableau or other comparable tools

Understanding of Big Data on Cloud

Experience with IBM Big Insights is a plus