Lead, IT Architecture

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

The Solutions Architect will lead the architecture, scalability, and availability of our digital engineering application ecosystem spanning software, systems, electrical, and mechanical engineering disciplines. This role will drive enterprise-scale deployments of “gold tier” engineering applications and enable secure external collaboration and AI capabilities across our engineering tools. This role partners closely with Engineering, IT Operations, Cybersecurity, and Vendor/License Management to deliver resilient, performant, and compliant solutions while advancing Digital Thread and Model-Based Systems Engineering (MBSE) practices across the enterprise.

• Provide technical and architectural guidance to support the portfolio strategy and multi-year roadmap owned by the business team. Ensure proposed solutions align with enterprise architecture principles, scalability, security, and compliance requirements.
• Collaborate with portfolio owners to validate feasibility of roadmap initiatives, identify technical dependencies, and define architecture patterns for consolidation, modernization, and integration across engineering disciplines (PLM, ALM, MBSE, CAD/ECAD, requirements, simulation, and Dev Ops).
• Establish reference architectures and patterns for on-prem, cloud, and hybrid deployments (e.g., Azure/AWS), covering compute, storage, networking, identity, CI/CD, and data flows.
• Drive adoption of Digital Thread principles to ensure seamless connectivity and traceability of data across the product lifecycle from requirements and models to design, simulation, manufacturing, and sustainment.
• Support MBSE enablement by architecting integrations between modeling tools (e.g., Cameo/Magic Draw, Jama) and downstream systems, ensuring model fidelity, version control, and traceability.

• Design and implement technical plans to scale enterprise instances of key “gold tier” applications, including capacity planning, clustering, caching, database tuning, and content distribution.
• Architect high-availability (HA) and disaster recovery (DR) solutions; implement fault-tolerant designs, backup/restore, active-active/active-passive failover, and resilience testing.
• Enhance operability practices: logging, tracing, metrics, synthetic monitoring, runbooks, and performance baselines.

• Create secure external collaboration environments for engineering tools (partners/suppliers/customers), including identity federation (SAML/OIDC), granular authorization, secure data exchange, zero trust network access (ZTNA), and data loss prevention (DLP).
• Define multi-tenant or segregated collaboration models, data lifecycle policies, and export controls compliance (e.g., ITAR/EAR/CUI/NIST).

• Identify high-value AI use cases (e.g., requirements quality checks, model consistency, test generation, code assistants, simulation automation, anomaly detection).
• Design AI integration patterns (in-tool plugins, microservices, API gateways) and govern model selection, prompt safety, responsible AI controls, and data privacy.

• Ensure compliance with applicable standards…