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Big Data Architect in Herndon, VA at Booz Allen Hamilton Inc.

Date Posted: 4/20/2019

Job Snapshot

Job Description

Job Number: R0051235

Big Data Architect

Key Role

Design and architect innovative large-scale solutions for Big Data ingest, storage, processing, and analytics use cases using Big Data technologies, including Hadoop, Hive, HBase, and Spark in Cloud environments, such as AWS or Azure. Architect, maintain, and enhance enterprise data models and structure data for optimal performance. Work as part of a team to comprehend the business needs of Big Data scientists and translate them as technical requirements for Big Data engineers, including developing high-level conceptual and details solution architecture artifacts. Mentor and collaborate with a cross-functional team of engineers to execute and develop the proposed solution. Develop best practice guidelines and design principles and recommend enterprise Big Data architecture strategies, processes, and methodologies. Manage and foster client relationships successfully by being their trusted advisor and demonstrate and communicate the measurable benefits of a chosen technical solution effectively to the C-Level executives.

Basic Qualifications:

-7+ years of experience with data architecture and modeling

-Experience with developing logical and physical data models for NoSQL data stores, including Hadoop, Hive, HBase, and Accumulo

-Experience with using data modeling tools, including ErWin, PowerDesigner, Sparx EA, or ER/Studio

-Experience with implementing, modeling, and optimizing data structures to make use of ElasticSearch

-Experience in indexing with inverted indices on technologies, including NoSQL data stores, such as Accumulo, HBase, or Hive

-Experience with using Big Data Analytic frameworks and query tools, including Spark SQL, Storm, Hive, or Impala

-Experience with using data transformation tools, including NiFi, Pentaho, or Talend

-BA or BS degree

Additional Qualifications:

-Experience with developing taxonomy, terms and definitions, and metadata

-Experience with streaming technologies, including Kafka and Spark Streaming

-Experience with security implementation on Hadoop, Accumulo, and HBase using Atlas and Ranger

-Experience with Big Data implementations on AWS and Azure Cloud

-Knowledge of XML, AVRO, and other data exchange standards

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