Hadoop Architect/ Principal Engineer
AMAX - Fremont, CA

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AMAX is seeking an experienced Hadoop Architect as a key member of its Big Data product development team to focus on designing and deploying POC and petascale production deployments of its award-winning PHAT Data Hadoop Cluster line. Ideal candidate would have a deep understanding of and solid working experience in building massively scalable distributed data processing solutions with Big Data/NoSQL frameworks, Hadoop/Map Hadoop, HDFS, HBase, Hive, Pig etc. and be able to analyze client needs from various verticals to develop scalable project-based turnkey big data appliances.

Responsibilities will include the technical development of the big data product line, pre-sales and design support for project-based solution optimization, benchmarking and debugging and working with alliance teams to build alliances with strategic partners within the Big Data ecosystem.

Expectations for this position include:

  • Hands on technical and leadership role; contribute to all phases of the turnkey solution development lifecycle (hardware/software integration) from reference architectures and POC/production deployments to customer sites, including the analysis, architecture, design, implementation, and QA.
  • Oversees and train product development and engineering team on the testing, deployment and maintenance of Big Data turnkey clusters.
  • Customer-facing pre-sales support in analyzing specific customer needs across verticals, and create optimized design proposals.
  • Acts as in-house expert resource for infrastructure troubleshooting.
  • Assist alliance teams with building and maintaining relationships with strategic partners in the Big Data ecosystem, from co-development to joint sales and marketing initiatives.
  • Collaborate with engineering and marketing teams to publish white papers, case studies, best practices/reference architecture literature
  • Manage the technical development of the PHAT Data product line

Professional Qualities Include:

  • Solid working experience in building massively scalable distributed data processing solutions with Big Data/NoSQL frameworks, Hadoop/Map Hadoop, HDFS, HBase, Hive, Pig etc., particularly with deployments in production environments across various verticals.
  • Strong knowledge and experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
  • Hands-on experience with large scale Big Data environments build, capacity planning, performance tuning and monitoring
  • 5-8+ years hands on Java, RDBMS, Linux/Unix experience building scalable solutions.
  • Knowledge of relational databases (SQL) and experience with large SQL based systems.
  • Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment
  • Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment
  • Excellent and bottom-line communicator with consulting experience in various data warehousing engagement, handling huge data volumes, architecting big data environments preferred
  • BS, MS., or Ph.D. in computer science or related field
  • Strongly self-motivated team player passionate about big data who can take both a leader and mentorship role while being hands-on.

Indeed - 20 months ago - save job - block
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