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Sr Hadoop Administrator

  • Location: Arlington, TX
  • Salary:
  • Posted: Aug 21

Click here to view a full job description and apply if qualified!


We are expanding our efforts into complementary data technologies for decision support in the areas of operating a big data platform while supporting fast development of intelligent applications.  Our interests are in enabling, development, deployment, and monitoring of these big data platforms along with intelligent applications using containers.
To that end, this role will engage with team counterparts in deploying and operating big data platform technologies for intelligent and other analytical applications. Deployment of big data platform technologies activities include identifying and enabling opportunities for automation of fast integration and deployment of applications.  Operation of big data platform technologies activities include monitoring and troubleshooting incidents, enabling security policies, managing data storage and compute resources. Responsibility also includes coding, testing, and documentation of new or modified automation for deployment and monitoring.  This role participates along with team counterparts to architect an end-to-end framework developed on a group of core data technologies.  Other aspects of the role include developing standards and processes for big data platforms in support of projects and initiatives.


  • Manage Hadoop and Spark cluster environments, on bare-metal and container infrastructure, including service allocation and configuration for the cluster, capacity planning, performance tuning, and ongoing monitoring.
  • Work with data engineering related groups in the support of deployment of Hadoop and Spark jobs.
  • Work with IT Operations and Information Security Operations with monitoring and troubleshooting of incidents to maintain service levels.
  • Work with Information Security Vulnerability Management and vendors to remediate known impacting vulnerabilities.
  • Contribute to the evolving distributed systems architecture to meet changing requirements for scaling, reliability, performance, manageability, and cost.
  • Report utilization and performance metrics to user communities
  • Contributes to planning and implementation of new/upgraded hardware and software releases.
  • Responsible for monitoring the Linux, Hadoop, and Spark communities and vendors and report on important defects, feature changes, and or enhancements to the team.
  • Research and recommend innovative, and where possible, automated approaches for administration tasks. Identify approaches to efficiencies in resource utilization, provide economies of scale, and simplify support issues.

Click here to view a full job description and apply if qualified!

From The Blog

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    20 Sep 2016

    I found North Texas LEAD to be a gem in the midst of a vast job seeking search. LEAD provided invaluable services with regards to interviewing techniques, resume assistance, coaching, networking and ultimately endorsement. I was interviewed by a professional and diverse panel who wholeheartedly embraces and projects diversity. Their endorsement was one which epitomizes […]

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