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Senior Data Architect with Big Data
Ref No.: 18-73735
Location: Boston, Massachusetts
Start Date: 10/04/2018
Title: Senior Data Architect
Location: Boston, MA
FTE/Corp-Corp/1099

The requirements would be:
  • BA/BS degree or equivalent experience; Computer Science or Math background preferred.
  • 12+ years of experience of IT platform implementation in a highly technical and analytical role.
  • 7+ years of relational data modeling experience – Postgres or Mysql preferred
  • 5+ years' experience of Big Data platform implementation, demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data.
  • Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
  • Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with tools such as Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro.
  • Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto.
  • Design and implement scalable time-series data storage infrastructures
  • Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
  • Current hands-on implementation experience required

Preferred Qualifications
  • Masters or PhD in Computer Science, Physics, Engineering or Math.
  • Hands on experience leading large-scale global data warehousing and analytics projects.
  • Strong verbal and written communications skills and ability to lead effectively across organizations.
  • Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
  • Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
  • Track record of implementing AWS services in a variety of distributed computing, enterprise environments.
  • 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.