Enclave Technical Lead

Job Description

GDIT is seeking an experienced Enclave Technical Lead to serve as the hands‑on technical lead for a secure, multi‑cloud research enclave supporting a federal data access and linkage initiative. This role owns technical architecture, engineering, and security for design, implementation, ATO, and operations in cloud environments handling sensitive research and health data. The Enclave Technical Lead works closely with security, program and technical teams.

• Lead technical design and implementation of the enclave, including multi‑cloud architecture, data components, virtual desktops, and core platform services for data access, linkage, and analytics.

• Translate FISMA Moderate, FedRAMP Moderate, CMS ARS, NIST, and Zero Trust requirements into architectures, controls, and configurations.

• Design and oversee IAM, RBAC, logging and monitoring, data ingestion, and HPC capabilities to support research workloads.

• Drive Zero Trust implementation, including segmentation, continuous monitoring, least‑privilege enforcement, and integration with federated identity and authentication services.

• Build, refine, and automate onboarding, workspace provisioning, and usage monitoring to support enclave operations, scalability, and cost optimization.

• Design and manage the secure management and tracking of RWD going into and through the cloud for use by researchers.

• Coordinate with program and technical leads to ensure secure, performant pipelines for ingest, masking, linkage, and research‑ready file creation within enclave workflows.

• Lead enclave security and compliance lifecycle, including control implementation, evidence development, independent assessments, remediation, & continuous monitoring.

• Provide technical direction and mentoring to enclave engineers, architects, security engineers, SREs, and operations staff.

• Bachelor’s degree in a relevant field; equivalent combination of education and experience may be considered.

• Deep knowledge of federal IT and security frameworks including FISMA Moderate, FedRAMP Moderate, NIST SP 800‑53, NIST SP 800‑137, and CMS Acceptable Risk Safeguards, with familiarity with Zero Trust concepts.

• Broad technical background across networks, operating systems, cloud services, security engineering, and data platforms.

• At least 7 years of experience designing and implementing secure, large‑scale cloud or enclave environments for federal or highly regulated customers, including multi‑account and multi‑cloud architectures.

• Proven experience as a technical lead for efforts of comparable size and complexity, including design authority and technical mentoring.

• Hands‑on experience with at least one major cloud provider and working in or integrating with FedRAMP Moderate environments.

• Strong understanding of IAM, RBAC, encryption at rest and in transit, centralized logging, security event monitoring, and continuous monitoring in support of ATO.

• Experience supporting or leading ATO efforts for Moderate systems, including security documentation and collaboration with independent assessors.

• Strong collaboration skills with cross‑functional technical and program teams, and excellent written and verbal communication for technical and executive audiences.

• Ability to obtain and maintain a Public Trust or higher and authorization to work in the United States.

• Willingness to travel 10–25% to support on‑site collaboration in the DC Metro area.

• Master’s degree in a related technical field.

• Professional certifications in areas such as cloud architecture, information security, or Dev Sec Ops .

• Direct experience designing or operating research enclaves or data platforms that support sensitive federal or health data in multi‑cloud environments.

• Experience with GPU‑enabled analytics, data lakehouse architectures, and ETL or ELT pipelines for large, longitudinal administrative or clinical datasets.

• Prior work with federal health or research agencies on data access, data linkage, or real‑world data initiatives.

• Familiarity with data governance frameworks such as DAMA‑DMBOK and master and metadata management concepts for large research…