Big Data Architect

The ideal candidate will be a proponent for innovation, best practices, sound design, development standardization and frameworks and efficient team structures.

• 10+ combined years in analytics development and architecture
• Strong understanding of emerging trends in application architecture and development, especially regarding analytics.
• Proven track record of effective leadership and positive results.
• Ability to interact directly with business and IT executives.

Required Experience/Expertise:

• Big-data architecture.
• Hadoop toolsets: Spark, Kafka, Hive, Impala, Hbase. Preferred: Cloudera.
• Multiple BI reporting tools.
• Data science using R and/or Python. Preferred: machine learning and AI experience using libraries like TensorFlow and Keras.
• Multi-tier web application.
• Technical project delivery in a Plan, Build, Run environment.
• On-Shore, Off-Shore, Near-Shore project delivery models.
• Agile development. Preferred: DevOps
• Experience working in Informatica Technologies.
• Bachelor’s Degree in Computer Science or Engineering

Preferred

• At least 5 years of experience working in Big Data Technologies
• At least 5 years of experience in Data warehousing
• At least 4+ years of experience in core Java and its ecosystem
• Strong understanding and hands-on experience on the Big Data stack (HDFS, Sqoop, Hive, Java etc.)
• Big Data solution design and architecture
• Design, sizing and implementation of Big Data platforms based on Cloudera
• Deep understanding of Cloudera stack (Impala, Spark, Installation and configuration, Navigator etc.)
• Experience in extracting data from feeds into Data Lake using Kafka and other open source components
• Understanding of and experience in Data ingestion patterns
• Experience in configuring AWS components and managing data flows
• Patterns for S3 vs local HDFS