Big Data Platform Architect

Company Name:
Candidate should guide the full lifecycle of a Enterprise Information Management solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Specifically, they should have knowledge of or experience in each of the following areas:
Assessing data capabilities
Determining platforms for big data/analytics
Recommending, overseeing and documenting proofs of concept for new technology
Assisting with the adoption of new technology
Developing a matrix of technology to be used for various use cases
Candidate should have the following technical qualifications:
BS, MS in Computer Science or equivalent experience
Dealing with large data sets and distributed computing
Working in the data warehousing and Business Intelligence systems
Working with various relational and MPP database platforms like Netezza, Teradata
Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, HBase, Flume)
Deep experience in working on large linux clusters
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho)
Hands-on experience with BI tools and reporting software (e.g. OBIEE, Microstrategy, Cognos, Pentaho)
Hands-on experience with R, Matlab or other statistical package
Hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)

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