Everforth ECS is seeking a Senior Platform Engineer – Databricks Integration 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 Platform Engineer – Databricks Integration provides senior-level technical leadership for the integration and operational advancement of Databricks capabilities across WDP's full multi-enclave architecture, spanning Unclassified/NIPRNet, Secret/SIPRNet, and Top Secret/JWICS environments. This role is central to enabling high-performance distributed data processing, MLOps maturity, and mission-aligned data exploitation in direct support of WDP Core Integration objectives.
• Leads the integration, configuration, and operational advancement of Databricks platform capabilities supporting War Data Platform (WDP) Core Integration mission requirements across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
• Designs distributed data pipeline architectures that ingest, transform, and process high-volume structured and unstructured data using Databricks Workflows, Delta Lake storage patterns, Unity Catalog governance rules, and medallion-layered data modeling aligned with enterprise architecture objectives.
• Implements MLOps frameworks using Databricks Model Registry, Feature Store, and automated training pipelines to strengthen machine learning reproducibility, deployment readiness, and mission analytics responsiveness.
• Optimizes Databricks cluster performance, auto-scaling behaviors, job concurrency, and cloud cost allocations using monitoring utilities, workload metrics dashboards, and predictive capacity planning.
• Integrates the Databricks environment with existing WDP Core Integration platform components including API gateways, cross-domain data movement tools, orchestration systems, data governance platforms, and enclave security controls.
• Conducts technical assessments of emerging commercial and open-source technologies and leads structured tool evaluations to determine suitability for integration into the WDP Core Integration ecosystem.
• Provides senior-level engineering mentorship to data engineers, analytic developers, and artificial intelligence teams, raising maturity in distributed computing practices, performance tuning, and data security.
• Produces architectural diagrams, integration guides, performance reports, and compliance documentation that advance platform interoperability, scalability, and mission-aligned data exploitation capabilities.
• 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 progressive experience in platform or data engineering, with demonstrated hands-on expertise designing and operating Databricks environments at enterprise scale, including Delta Lake, Unity Catalog, Databricks Workflows, Model Registry, and Feature Store.
• Proven experience architecting and deploying distributed data pipelines and MLOps workflows across multi-enclave or multi-classification environments, with working knowledge of cross-domain data movement constraints and enclave security controls.
• Demonstrated experience integrating Databricks with complementary platform components such as API gateways, workflow orchestration tools, data governance platforms, and cloud-native storage solutions in AWS GovCloud or equivalent classified cloud environments.
• Experience operating within DoW-compliant DevSecOps frameworks, including the use of CI/CD pipelines, Infrastructure-as-Code (IaC), and agile development methodologies to deliver platform capabilities in iterative, mission-driven release cycles.
• 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).
Skills Required
- 10 or more years of progressive experience in platform or data engineering
- Demonstrated hands-on expertise designing and operating Databricks environments at enterprise scale
- Proven experience architecting and deploying distributed data pipelines and MLOps workflows
- Demonstrated experience integrating Databricks with complementary platform components
- Experience operating within DoW-compliant DevSecOps frameworks
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
-
Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
-
Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
-
Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
.jpeg)
