System Engineer 6

Avid Technology ProfessionalsAnnapolis Junction, MD

About The Position

Lead the design, integration, and sustainment of complex enterprise dataflow architectures supporting mission-critical analytics, ensuring reliable ingestion, processing, routing, and delivery across large-scale cloud and distributed environments. Manage and optimize high-availability Linux and Cloudera Hadoop cloud infrastructures, including virtual machines, storage containers, and enterprise data repositories, to support thousands of secure operational dataflows. Engineer and maintain end-to-end dataflow solutions using technologies, and related processing systems, ensuring schema compatibility, metadata integrity, and proper data governance throughout the lifecycle. Develop and implement monitoring, troubleshooting, and automation strategies utilizing system instrumentation, cron scripting, logging, and operational monitoring tools to improve system continuity, performance, and incident response capabilities. Provide technical leadership for DevOps and Agile/Scrum initiatives, including task prioritization, workflow modernization, requirements management, and cross-functional coordination to improve operational efficiency and team performance. Ensure compliance with enterprise security, classification, and data handling requirements by applying deep knowledge of intelligence community governance policies, access controls, and secure data routing methodologies. Coordinate across engineering, operations, analytics, and stakeholder organizations to deploy new capabilities, transition systems into production, establish standard operating procedures, and support enterprise-wide mission objectives through scalable and resilient dataflow solutions.

Requirements

  • Experience with enterprise dataflow architectures.
  • Experience with large-scale cloud and distributed environments.
  • Experience managing and optimizing high-availability Linux and Cloudera Hadoop cloud infrastructures.
  • Experience with virtual machines, storage containers, and enterprise data repositories.
  • Experience engineering and maintaining end-to-end dataflow solutions.
  • Experience with schema compatibility, metadata integrity, and data governance.
  • Experience with system instrumentation, cron scripting, logging, and operational monitoring tools.
  • Experience with DevOps and Agile/Scrum initiatives.
  • Experience with task prioritization, workflow modernization, and requirements management.
  • Knowledge of intelligence community governance policies, access controls, and secure data routing methodologies.

Responsibilities

  • Lead the design, integration, and sustainment of complex enterprise dataflow architectures.
  • Manage and optimize high-availability Linux and Cloudera Hadoop cloud infrastructures.
  • Engineer and maintain end-to-end dataflow solutions.
  • Develop and implement monitoring, troubleshooting, and automation strategies.
  • Provide technical leadership for DevOps and Agile/Scrum initiatives.
  • Ensure compliance with enterprise security, classification, and data handling requirements.
  • Coordinate across engineering, operations, analytics, and stakeholder organizations to deploy new capabilities, transition systems into production, establish standard operating procedures, and support enterprise-wide mission objectives.
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