Platform Architect

Platform Architect We are seeking an experienced Platform Architect to design the secure, modular, on-premises platform architecture that supports reusable data ingestion, analytics, AI services, reporting, and future growth without material redesign. As a core member you'll work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Key Responsibilities Define target and transition architectures for development, test, staging, and production environments. Design modular boundaries among ingestion, centralized data storage, analytic signals, open-source LLM services, APIs, and the end-user application. Align architecture with OMB preferences for Linux, PostgreSQL or Microsoft SQL Server, Java or.NET, Kubernetes/Rancher, Jenkins, and self-hosted Azure DevOps. Ensure the AI model remains replaceable without rebuilding the durable data infrastructure or ingestion logic. Incorporate scalability, observability, resilience, records management, accessibility, security, and Government ownership requirements. Produce architecture diagrams, decisions, standards, interface guidance, and transition documentation. Required Qualifications 8+ years of experience in enterprise solution, platform, software, data, or systems architecture, preferably supporting complex Federal or other highly regulated environments. Demonstrated experience designing end-to-end enterprise platforms spanning applications, APIs, data, infrastructure, integration, security, and DevSecOps. Strong experience architecting on-premises and/or hybrid environments , including containerized applications and distributed services. Hands-on architectural knowledge of: Linux PostgreSQL and/or Microsoft SQL Server Java and/or.NET RESTful APIs and service-oriented architectures Docker/containerization Kubernetes and/or Rancher Jenkins and/or self-hosted Azure DevOps CI/CD and DevSecOps practices Demonstrated experience designing modular, loosely coupled architectures with well-defined service and data interfaces. Experience architecting data platforms, including data ingestion, transformation, storage, APIs, analytics, and downstream data consumption. Experience with AI/ML or LLM-enabled architectures , including integration of open-source models, model-serving approaches, or AI services into enterprise applications. Understanding of database architecture, including schema design, indexing, performance, availability, backup/recovery, and data lifecycle considerations. Experience designing secure APIs and integrations, including authentication, authorization, encryption, API versioning, and service-to-service communication. Experience designing for scalability, high availability, resilience, observability, and disaster recovery . Strong understanding of application and infrastructure security within Federal or regulated environments. Ability to evaluate competing technologies and make architecture decisions based on security, scalability, maintainability, interoperability, performance, cost, and mission requirements . Demonstrated ability to produce high-quality architecture documentation and communicate technical decisions to both engineering teams and senior stakeholders. Ability to work effectively in an Agile/iterative delivery environment , balancing long-term architecture with incremental implementation. U.S. citizenship and ability to obtain and maintain Top Secret eligibility , as required for contractor personnel supporting the effort. Active Top Secret clearance highly preferred Preferred Qualifications Experience supporting Federal financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship . Experience architecting platforms supporting Federal grants, payments, awards, financial data, or oversight missions. Experience with Federal data and application modernization initiatives involving legacy-system integration and incremental migration to modern architectures. Experience implementing or architecting open-source AI/LLM platforms in secure or disconnected/on-premises environments. Experience with model-serving technologies, AI gateways, vector databases, RAG architectures, or other enterprise AI integration patterns. Familiarity with FedRAMP-authorized environments, FISMA Moderate, NIST SP 800-53 , and Federal security authorization processes. Experience with Federal accessibility requirements, including Section 508 . Experience designing systems subject to Federal records management, audit, data retention, and Government data ownership requirements. Relevant cloud, Kubernetes, security, architecture, or enterprise technology certifications. About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Analytica, Inc.