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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10118033
- Position Id: 295768443bd7b01ad403c482d73eb04d
- Posted 30+ days ago
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