
Business Intelligence Architect
Posted Aug 28

Posted Aug 28
This is a fully remote position, open to applicants in Florida.
β’ Define the target-state architecture for business intelligence, data, applications, integrations, automation, AI-enabled solutions, and Azure services.
β’ Architect data ingestion, transformation, storage, semantic models, dashboards, reporting, and self-service analytics.
β’ Establish trusted data definitions, data quality expectations, ownership, lineage, and access controls.
β’ Define solution designs for both new and existing business applications, encompassing data, interfaces, workflows, identity, security, extensibility, deployment, monitoring, and operational support.
β’ Establish standards for APIs, messaging, event-driven integrations, middleware, system synchronization, managed file exchange, and cross-application workflows.
β’ Identify and prioritize automation opportunities across approvals, document processing, exception handling, data movement, repetitive tasks, and cross-system processes.
β’ Design secure assistants and agents using governed enterprise information and approved tools, incorporating identity, authorization, human approval, evaluation, monitoring, and audit controls.
β’ Guide Azure and Azure Government solutions across data, integration, applications, automation, and AI.
β’ Develop prototypes, reference implementations, and company applications; review code and configurations; validate technical approaches; troubleshoot complex cross-system issues.
β’ Mentor developers, analysts, administrators, and engineers in solution design, architecture patterns, development practices, documentation, testing, troubleshooting, and operational readiness.
β’ Set direction and coordinate technical work among internal staff, vendors, consultants, and implementation partners.
β’ Establish architecture governance through reference architectures, reusable patterns, architecture decision records, development standards, technical reviews, and vendor evaluation criteria.
β’ Build and maintain a sequenced modernization roadmap.
β’ Collaborate with IT Operations to ensure monitoring, support, recovery, ownership, documentation, and transition requirements.
β’ A minimum of 8 years of experience in business intelligence, data architecture, application architecture, integration engineering, solution architecture, or related enterprise technology roles.
β’ Proven track record of designing and delivering production-level business intelligence, data, application, integration, automation, or AI-enabled solutions.
β’ Strong hands-on experience in engineering, development, systems integration, data, or solution delivery; capable of prototyping, reviewing technical work, and diagnosing complex issues.
β’ Experience leading technical teams and coordinating delivery among employees, vendors, consultants, and implementation partners.
β’ Demonstrated experience mentoring developers, analysts, administrators, engineers, or other technical professionals.
β’ Experience working within complex enterprise environments that involve multiple interconnected systems and competing operational priorities.
β’ Involvement in technology roadmap development, application modernization, or structured enterprise transformation initiatives.
β’ Significant experience with Microsoft Azure, including Azure Government.
β’ Experience in integrating ERP and other operational platforms with analytics, applications, automation, and AI-enabled capabilities.
β’ Preferred experience in aerospace, defense, manufacturing, MRO, supply chain, or other regulated operating environments.
β’ Expertise in business intelligence and analytics: data ingestion, transformation, warehousing or lakehouse concepts, semantic modeling, reporting, dashboards, self-service analytics, and performance measurement.
β’ Knowledge in data architecture and governance: enterprise data flows, data quality, metadata, lineage, trusted definitions, ownership, security, master and reference data, and analytics readiness.
β’ Understanding of application architecture: SaaS and custom applications, solution decomposition, identity, security, extensibility, lifecycle management, observability, and production support.
β’ Familiarity with integration and automation: APIs, API management, messaging, event-driven architecture, middleware or iPaaS, workflow orchestration, serverless patterns, low-code and pro-code automation, and integration monitoring.
β’ Knowledge of AI-enabled applications and agents: enterprise search, retrieval and grounding, agent orchestration, tool invocation, evaluation, observability, human-in-the-loop controls, and responsible-use governance.
β’ Practical experience in Azure solution architecture, designing and delivering Azure-based data, application, integration, automation, and AI solutions, including security and operational requirements.
β’ Familiarity with ERP, finance, supply chain, MRO, CRM, customer, vendor, and related platforms.
β’ Working knowledge of source control, CI/CD, automated testing, infrastructure as code, environment promotion, documentation, and release management.
β’ Understanding of identity, networking, private connectivity, compute, storage, monitoring, resilience, backup, recovery, and cost management.
β’ Knowledge of least privilege, secrets management, data protection, auditability, vulnerability management, and secure solution design in government or regulated environments.
β’ Ability to lead through technical credibility, sound judgment, clear direction, and accountability.
β’ Capability to mentor team members, elevate engineering standards, and enhance technology organization capabilities.
β’ Skill in leading matrixed teams and coordinating work without solely functioning as a project manager.
β’ Strong communication skills across business, technical, operational, vendor, and executive audiences.
β’ A collaborative approach and sound judgment regarding sequencing and prioritization.
β’ Fully remote work arrangement.
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