Senior Enterprise Data Tooling Support Engineer (Tier-4 Data Tool Operations Support)

Everforth ECS is seeking a Senior Enterprise Data Tooling Support Engineer (Tier-4 Data Tool Operations Support) to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax.

Please Note:

This position is contingent upon contract award.

The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.

The Senior Enterprise Data Tooling Support Engineer serves as the highest tier of operational support for enterprise data tooling services across the War Data Platform, responsible for resolving the most technically complex incidents affecting data catalog, movement, orchestration, ingestion, governance, and API integration capabilities. This role directly supports platform builders and mission data consumers by diagnosing and remediating advanced tool failures and driving sustained improvements to the WDP enterprise data toolset.

• Provides Tier-4 support for enterprise data tool issues affecting War Data Platform data tooling services operating across applicable security enclaves supporting Combatant Command data operations and Chief Digital and Artificial Intelligence Office enterprise data initiatives
• Investigates complex technical incidents affecting federated data catalog services, data movement and orchestration tools, data ingestion and egress utilities, and enterprise data governance platforms supporting operational analytics environments
• Performs advanced troubleshooting for data quality anomalies, performance bottlenecks, metadata discovery failures, and access control issues impacting enterprise data consumers and platform builders
• Analyzes tool behavior, evaluates system performance indicators, and identifies operational failure patterns impacting Extract, Transform, Load workflows, message queue processing, streaming data pipelines, and API gateway integrations
• Develops and maintains utilities that assist platform teams in diagnosing operational failures, validating data movement workflows, and improving maintenance efficiency across enterprise data tooling environments
• Implements enhancements to data tooling services based on customer feedback, operational analysis, and mission data engineering requirements defined by CDAO data standards
• Monitors tool performance and usage patterns, conducts analysis of alternatives on tooling capabilities, and recommends improvements supporting modernization of the WDP enterprise data toolset
• Maintains documentation including user guides, technical specifications, release notes, and operational runbooks supporting enterprise data tool sustainment
• Coordinates with platform engineering, infrastructure development, and customer support teams to transition new data movement, governance, and observability tools into operational production environments while maintaining data security compliance and managing user access permissions across enterprise data services
• Performs other duties as assigned
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI)
• 10 or more years of experience in enterprise data engineering, data platform operations, data tooling support, or a closely related technical discipline
• Holds an active DoW IAT Level II baseline certification, which must be one of the following: CompTIA Security+ CE, CompTIA CySA+, CompTIA Cloud+, Cisco CCNA Security, GIAC

GSEC, GIAC

GCED, or ISC² SSCP

• Demonstrated experience providing Tier-4 expert-level support for enterprise data tooling environments, including federated data catalogs, ETL and orchestration platforms, streaming pipelines, API gateways, and data governance tools
• Hands-on experience developing and maintaining operational utilities, diagnostic tools, or automation scripts used to support data movement validation, failure detection, and platform maintenance within large-scale enterprise data environments
• Experience supporting enterprise data tooling such as Databricks, Apache Airflow, Apache Kafka, AWS Glue, API gateways, data catalogs such as Collibra, Apache Atlas, or Unity Catalog, observability platforms, IAM services, and infrastructure-as-code tools such as Terraform
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management)