[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a critical domain mismatch - the candidate is a Systems Architect with engineering/business operations background, while the job requires a Junior Architect for retail architectural design with mandatory ARCHICAD software knowledge. The candidate has no demonstrated experience in physical architecture, building design, or retail space planning. **Critical Gaps:** - Physical architecture vs systems architecture - completely different domains - No building/space design experience - No retail architectural projects - Missing mandatory ARCHICAD software **Strengths:** - Project management experience - Technical background - English proficiency **Missing Required:** ARCHICAD (mandatory), Architectural design processes, Retail architecture experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified due to lacking the fundamental academic background (Architecture Degree) and legal certification (CAU ATIVO) required for an 'Arquiteto de Projetos' role. Their extensive experience in systems architecture and automation is not transferable to the specific domain of architectural project design and execution. **Critical Gaps:** - Formação em arquitetura - CAU ATIVO (lack of architectural degree and active license) - Técnicas de Arquitetura (no background in architectural design, detailing, or review) - Proficiency in architectural design software (AutoCAD, SketchUp) **Strengths:** - Strong general project management and coordination skills - Fluency in English (C2 certified) - Proven ability as a fast learner and adaptable to new technical domains **Missing Required:** Formação em arquitetura, CAU ATIVO, Técnicas de Arquitetura, AUTO CAD AVANCADO, SKETCHUP AVANCADO, Experiência em execução de projetos arquitetônicos

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] Critical domain mismatch: candidate is a Systems/Operations Architect with automation and supply chain expertise, while the role requires an Architecture/Engineering professional specialized in construction cost estimation, AutoCAD, and building materials. Despite strong transferable skills in financial analysis, CRM management, and procurement, the fundamental technical domain (construction/architecture vs. software/operations) represents a blocking gap. **Critical Gaps:** - Architecture/Civil Engineering domain expertise - role requires physical construction budgeting, not software systems - Technical construction knowledge - materials, labor, building processes - Architecture-specific software tools (AutoCAD, cost estimation platforms) **Strengths:** - Strong financial analysis and budgeting background (Supply Chain, Procurement) - Proven CRM/pipeline management capability (managed 40-50 daily orders with automated systems) - Excellent negotiation and supplier management experience (Electrolux, Pronutri) **Missing Required:** Architecture or Engineering degree (has Mechatronics), Construction project budgeting experience, AutoCAD proficiency, Building materials and construction processes knowledge

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] The candidate has strong systems-thinking, operations/finance background, and architecture mindset, but shows no explicit hands-on experience with AWS services, IaC, or DevOps/SRE tooling that are core to this role. Several required skills (AWS architecture, Terraform/CloudFormation, Linux/networking/security in cloud, VMware-to-AWS migration) are missing or not inferable from the resume, which would likely cause an ATS to downgrade the match significantly. Fast-learning evidence, cost/ROI focus, and prior experience in financial/crypto contexts help somewhat but do not compensate for the lack of direct cloud experience. **Critical Gaps:** - Hands-on AWS cloud architecture and migration experience (including VMware-to-AWS) is not demonstrated - Infrastructure as Code tooling for AWS (Terraform/CloudFormation/CDK) is not present - Practical DevOps/SRE experience in cloud environments is not demonstrated **Strengths:** - Strong bridge between operations/finance/supply chain and technical system design, with proven ability to formalize complex processes - Demonstrated track record of building automation-first workflows and enforcing data quality/integrity in ERP and operational systems - Fast learner with evidence of self-teaching advanced topics (trading algorithms, systems tooling) and a clear trajectory toward more technical/architecture-oriented roles **Missing Required:** Experiência sólida e comprovada em arquitetura de soluções AWS, Certificações AWS de nível Professional e/ou Specialty, Domínio dos principais serviços AWS (EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, etc.), Infraestrutura como Código (IaC) com Terraform e/ou AWS CloudFormation/AWS CDK, Sólido conhecimento em SO Linux e redes e segurança em cloud, Experiência consistente com práticas DevOps e SRE, Experiência específica em migração de workloads/VMware para AWS

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, automation, and leadership, with a clear trajectory towards technical roles and a proven ability to rapidly learn new technologies, including inferred containerization/Kubernetes experience. However, the role is critically focused on Microsoft Azure PaaS architecture, cloud migration, and specific Azure services, which are largely absent from the candidate's resume. **Critical Gaps:** - Extensive experience in Microsoft Azure PaaS architecture and cloud migration - Design and define Azure Landing Zones - Host, configure, and optimize applications on IIS and Azure PaaS platforms **Strengths:** - Strong architectural and systems thinking across diverse domains. - Proven ability to design, build, and automate complex operational systems. - Exceptional learning agility and career progression towards technical/AI roles, with inferred containerization experience. **Missing Required:** 13+ years in application development and modernization, Application migration strategies and pathways, .NET development experience, Java development experience, Angular / React development experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems thinking, operational leadership, and end-to-end process design in finance, supply chain, and technical domains, directly aligning with the RevOps architect role. While there is no explicit experience with HubSpot, Salesforce, or specific RevTech platforms, the candidate's proven ability to rapidly learn and implement new systems, lead cross-functional teams, and architect measurable, automation-driven solutions is highly relevant. The main gap is direct SaaS/RevTech stack experience, but the candidate's trajectory and skills suggest a high likelihood of success. **Strengths:** - Systems/process architecture across business and technical domains - Proven rapid self-learning and upskilling - Leadership in ambiguous, cross-functional environments **Missing Required:** Direct experience with HubSpot ecosystem, Direct SaaS/RevTech platform experience

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems/process architecture, automation, and business-technical bridging, with proven experience in operations, supply chain, and technical delivery. However, there is no direct evidence of hands-on web application development, Azure PaaS/containerization, or .NET/Java/Angular/React experience, which are core requirements. The candidate's fast-learner profile, Python, and database logic experience provide some adjacency, but critical gaps remain in direct cloud and modern app stack skills. **Critical Gaps:** - No direct web application or Azure/cloud modernization experience **Strengths:** - Fast learner with proven self-teaching - Strong business-technical translation and process automation - Demonstrated ability to deliver complex systems with measurable impact **Missing Required:** Hands-on web application development, Azure PaaS hosting/configuration, Containerization/Kubernetes deployment

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Good operational and systems thinking match with strong business-technical bridge experience, but significant gaps in hands-on software development (Java/Python/Go), cloud infrastructure (AWS/Azure/GCP), and modern architecture patterns (microservices, Kubernetes, DevSecOps). The candidate demonstrates systems architecture from an operations perspective rather than software engineering architecture. Career trajectory shows progression toward technical roles, and 'fast learner' evidence is strong, but the role requires deep technical implementation experience the resume doesn't directly demonstrate. **Critical Gaps:** - No demonstrated software development experience with required languages (Java/Python/Go in production systems) - No hands-on cloud platform experience (AWS/Azure/GCP) - critical for cloud migration deliverables - No experience implementing microservices, APIs, or distributed systems from engineering perspective - Missing DevSecOps and container orchestration (Kubernetes) experience **Strengths:** - Exceptional business-technical bridge capability: proven ability to translate C-level strategy into technical execution and communicate complex technical concepts to stakeholders - Strong governance and architecture documentation mindset: experience creating reference architectures, validation frameworks, and technical standards for operations - Rapid learning capability with systems thinking: self-taught trading systems, automation frameworks, and ATS-style engines demonstrate ability to abstract complex problems into scalable solutions **Missing Required:** Previous experience as developer/engineer/tech lead in software development, Cloud computing implementation experience (AWS/Azure/GCP), Microservices architecture implementation, Container orchestration (Kubernetes/EKS), API design and implementation (RESTful/gRPC/GraphQL), DevSecOps culture and automation, Software architecture patterns implementation (Hexagonal/Clean/Layered), Database design and management (SQL/NoSQL), Programming proficiency in Python/Java/Go

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong match for Senior Solutions Architect role. Candidate demonstrates proven systems architecture experience through e-commerce automation, ERP implementations, and cross-functional technical leadership. Missing some specific technologies but shows strong learning ability and relevant business-technical bridge experience. **Strengths:** - Business-technical bridge expertise - Systems architecture with automation focus - Cross-functional leadership and stakeholder management **Missing Required:** Java/Node.js development experience, Container orchestration with Kubernetes

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a highly experienced Systems Architect with a strong background in designing and implementing complex automated systems and integrations, excelling at bridging business and technical requirements. Their proven ability in architectural governance and a clear 'fast learner' aptitude are significant strengths. However, there are notable gaps in explicit experience with specific modern container orchestration platforms (Kubernetes/OpenShift), advanced API security protocols (OAuth2/OIDC/JWT), and detailed DevSecOps practices (CI/CD/GitLab) which are required for this senior role. **Strengths:** - Extensive experience in systems architecture, complex integrations, and end-to-end automation of operational processes. - Proven ability to translate strategic vision into technical execution, managing governance frameworks and defining technical scope. - Strong 'fast learner' aptitude demonstrated by self-taught complex technical domains (e.g., algorithmic trading, AI infrastructure) and continuous education. **Missing Required:** Kubernetes, OpenShift, OAuth2, OIDC, JWT, certificados digitais, Kafka, RabbitMQ, CI/CD, GitLab, automação de pipelines, onboarding de equipes de API

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and analytical problem-solving with a proven track record as a fast learner. Their career progression and experience in complex system design, data governance, and risk management are highly valuable. However, the candidate lacks explicit experience with specific API governance patterns, CI/CD pipelines, Kubernetes, and critically, frontend development frameworks, which are key requirements for this Solution Architect role. **Critical Gaps:** - Conhecimento com desenvolvimento front end utilizando Angular, React ou Vue.js **Strengths:** - Exceptional analytical and systemic vision, anticipating risks and proposing sustainable solutions. - Proven ability in complex systems architecture, automation, and operational efficiency across various domains (e-commerce, ERP, trading). - Strong 'Fast Learner' profile with demonstrated self-taught expertise in challenging technical areas and a clear career trajectory towards technical/AI roles. **Missing Required:** Padrões, boas práticas de concepção, construção e governança de APIs (API First, Contract First, API Gateway etc), Experiência com pipelines de CI/CD, Familiaridade com as soluções de Kubernetes como serviço GKE, EKS e AKS, Conhecimento com desenvolvimento front end utilizando Angular, React ou Vue.js

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating deep and practical experience in nearly all required data architecture and AI/Analytics skills, significantly bolstered by a clear career trajectory and strong 'Fast Learner' evidence. While lacking specific tool experience in Azure, Oracle Data Modeler, Informatica IDMC, and ArchiMate, the underlying conceptual and applied skills are robust, making these minor gaps in a highly qualified profile. **Strengths:** - Exceptional practical experience in AI/Analytics solution architecture and governance, demonstrated through self-hosted LLM clusters, algorithmic trading, and predictive modeling. - Proven ability to translate complex business needs into technical data solutions, coupled with strong data governance, quality, and integrity experience (ERP, framework implementation). - Extensive experience in high-volume, real-time, and heterogeneous data environments, with a strong 'Fast Learner' track record and relevant supply chain domain expertise for the logistics company. **Missing Required:** ArchiMate language for detailing data solutions

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Critical mismatch - this is a specialized Azure/Windows infrastructure architect role requiring 13+ years IT experience and 5+ years Azure expertise. Candidate has strong systems thinking and automation skills but lacks the required cloud infrastructure, Windows administration, and Azure migration experience. **Critical Gaps:** - No Azure cloud infrastructure experience - No Windows Server administration background - No enterprise migration project experience - Missing required 13+ years IT experience **Strengths:** - Strong systems thinking and automation mindset - Proven ability to learn complex technical domains quickly - Excellent business-technical communication skills **Missing Required:** Azure Migrate expertise, Azure Landing Zone design, Windows Server clustering, DNS/WINS/DHCP administration, Azure networking, Enterprise infrastructure architecture

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general systems architecture, automation, and end-to-end integration skills, along with a proven track record as a fast learner. However, a critical gap exists in the explicit and extensive SAP S4HANA PP-DS experience, including specific SAP integration tools and 10+ years of SAP experience, which are core requirements for this role. While many transferable skills are present, the absence of direct SAP expertise significantly impacts the match. **Critical Gaps:** - SAP S4HANA PP-DS experience **Strengths:** - Strong General Systems Architecture & Automation - Proven Fast Learner and Rapid Prototyping Capabilities - Excellent Business-Technical Bridge and Leadership Experience **Missing Required:** 10+ years of experience in SAP, Proven experience as SAP Integration Architect, Experience with SAP integration tools (BTP, PI PO, etc.)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong leadership, system architecture, and data governance experience, coupled with a proven ability to rapidly learn and apply new technical skills, as evidenced by self-taught AI infrastructure and algorithmic trading. While highly capable and aligned with a data architect trajectory, there are specific gaps in direct experience with key required data technologies like Snowflake, Kafka, and Apache Iceberg, and the explicit demonstration of handling terabytes of data. The fast-learner bonus and inferred skills significantly mitigate these tool-specific deficiencies. **Strengths:** - Strong leadership and cross-functional collaboration in technical/operational roles. - Proven ability to architect and implement complex, automation-first systems with end-to-end ownership. - Exceptional fast-learner with a track record of acquiring new technical skills (AI infra, algorithmic trading) and applying them to production systems. **Missing Required:** Snowflake (or equivalent modern data warehouse), Kafka, AWS SQS (or equivalent messaging queues), Apache Iceberg (for data lakes), Explicit demonstration of handling terabytes of data

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and stakeholder management skills with a remarkable ability to learn new technologies. However, a critical gap exists in the explicit 10+ years of experience with Microsoft Azure services and architecture, which is fundamental to this Solution Architect role. While showing a positive technical career trajectory, the lack of direct Azure expertise, specific certifications, and required years in public cloud environments makes this a poor fit. **Critical Gaps:** - Extensive (10+ years) and specific Microsoft Azure architecture and services expertise is foundational to this role; candidate lacks explicit Azure experience. **Strengths:** - Exceptional fast learner with proven ability to build production systems in new domains. - Strong business-technical bridging capabilities, stakeholder management, and establishing governance. - Demonstrated expertise in designing and implementing automation-first solutions and systems architecture. **Missing Required:** 15+ years of overall IT experience, 10+ years using public cloud offerings (specifically Microsoft Azure for this role), Expertise in On-prem/Public cloud Infra assessments using Azure Migrate, Driving cloud Solutioning Azure activities for large complex migration, Ability to ensure proposed solution covers Azure strategy, Business, Application and Infrastructure as well as commercial aspects, Design and build Azure Landing Zone activities, Provide Azure target architecture and its BoM pricing and licensing related details, Azure Target Solutions architect Diagram (all Azure services) including HLD & LLD, Troubleshooting experience with Azure & Windows environments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems architecture, automation, and technical leadership experience, with a clear trajectory toward cloud and AI infrastructure. They meet all hard requirements: relevant degree, 10+ years in technical/ops roles, fluent Portuguese and English, and extensive customer-facing and project delivery experience. However, there is no explicit evidence of hands-on Microsoft security product expertise (Defender, Sentinel, Purview, Entra) or formal cloud/security certifications, which are preferred. **Strengths:** - Proven systems architecture and automation delivery - Strong business-technical bridge and stakeholder management - Fast learner with intentional career progression toward AI/cloud

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match for the Staffing Solution Architect role, demonstrating extensive experience in systems architecture, automation, and translating complex business requirements into technical solutions. Their proven ability as a 'fast learner' and a 'business-technical bridge' aligns perfectly with the need to understand diverse technical profiles and engage with clients at a strategic level, fulfilling all core responsibilities. **Strengths:** - Exceptional Business-Technical Bridging & Communication skills, comfortable engaging C-level stakeholders - Strong Systems Architecture and Automation expertise, with a proven track record in designing and implementing complex systems - Highly adaptable and a proven 'Fast Learner', enabling quick assimilation of new technologies and market trends

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate is a strong Systems Architect with extensive experience in Data Analytics, Data Engineering, Machine Learning, and GenAI infrastructure (self-hosted LLM clusters, algorithmic trading). Their proven 'Fast Learner' ability and intentional career trajectory towards AI are significant assets. However, a critical gap exists in practical experience with specific Azure/AWS cloud environments and their associated services, which are core requirements for this role. This, along with missing pre-sales experience and desired certifications, reduces the overall match quality. **Critical Gaps:** - Practical experience with specific Azure/AWS cloud environments and their associated services **Strengths:** - Strong Systems Architecture and Data/AI solution design - Exceptional consultative and strategic communication skills - Proven 'Fast Learner' with a history of self-taught complex technical domains **Missing Required:** Apoiar o time comercial em pré-vendas técnicas

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5-mini] Strong match on systems architecture, ERP/process automation and leadership with evidence of complex, production-grade automation and fast learning. However, the role requires direct SAP S/4HANA solution architecture, SAP BTP/integration and SAP Activate experience plus proven hyperscaler work, which are missing and materially reduce fit. **Strengths:** - End-to-end systems architecture for operations and supply chain (ERP data integrity, automated procurement) - Proven ability to deliver automation and measurable business impact (reduced manual ops, improved forecasting) - Leadership / stakeholder communication and consulting experience (founder, independent consultant, C-level reporting) **Missing Required:** Proven SAP S/4HANA architecture experience, SAP BTP / integration tooling experience, SAP Activate methodology experience, Hyperscaler experience applied to SAP deployments

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified due to not meeting a critical language requirement. The job description explicitly requires excellent communication skills in both English and Spanish, but the candidate only lists English (C2) and native Portuguese, with no mention of Spanish proficiency.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, possessing over 10 years of experience in systems architecture, operations, and technical leadership that directly aligns with the Staffing Solution Architect role. They demonstrate robust technical communication skills, a proven ability to build complex automation and data systems, and a remarkable aptitude for rapid self-learning across diverse technical domains. All explicit job requirements are met or strongly inferred, and their career trajectory shows intentional progression towards technical and AI infrastructure roles. **Strengths:** - Systems Architecture & Business-Technical Bridge capabilities - Exceptional communication and stakeholder management across technical and executive levels - Proven track record in building and operating complex, automation-first technical solutions - Remarkable 'fast learner' aptitude and clear career progression towards technical leadership

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and data quality with a notable 'fast learner' bonus and a clear career trajectory into technical roles. However, the position has a critical requirement for expertise in specific Azure big data and analytics services (Azure Databricks, Azure Fabric, Azure Data Lake, Azure Synapse, Azure Data Factory), which are entirely missing from the candidate's experience, leading to a fundamental mismatch for this specialized role. **Critical Gaps:** - Deep, hands-on expertise with the required Azure big data and analytics ecosystem (Databricks, Fabric, Data Lake, Synapse, Data Factory). **Strengths:** - Strong experience in data quality, operational logic, and data governance. - Proven ability as a fast learner and builder, with a clear career progression towards technical and systems architecture roles. - Leadership and systems-level thinking demonstrated through building and operating automated systems. **Missing Required:** 12+ years in data engineering and analytics solutions (candidate has 10+ years general, less directly in DE/Analytics), Azure Databricks (hands-on, cluster management, notebook development, Delta Lake), Big data technologies (Hadoop, Spark), Frameworks such as PySpark, Deep understanding of Azure services including Azure Data Lake, Azure Synapse, and Azure Data Factory, Familiarity with NoSQL databases, Knowledge of cloud security best practices

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong profile in end-to-end solution architecture, data integration, process automation, and business-oriented system design, aligning well with most core technical and governance requirements. While specific certifications (ITIL, COBIT) and explicit multi-cloud architecture experience are not detailed, the candidate's proven 'fast learner' ability and extensive practical application of architectural principles significantly mitigate these gaps, indicating a highly adaptable and capable professional. **Strengths:** - End-to-End Solution Architecture & Business Acumen - Automation & System Integration Expertise - Continuous Learning & Systems Thinking **Missing Required:** Arquitetura Cloud / Cloud Computing (specifically for multi-cloud/hybrid environments, though general infrastructure and AWS learning are present), Conhecimento em ITIL, Conhecimento em COBIT

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture and operations background with demonstrable ERP, automation, procurement and data pipeline delivery maps well to Solution Architect responsibilities; language, stakeholder-facing experience, and inferred infra skills reduce ramp risk. Missing explicit OutSystems/low-code and enterprise pre-sales PoC platform experience are the main gaps but are learnable given clear fast-learner evidence. **Strengths:** - Proven systems architecture & automation (procurement/ERP → reliable ops) - Data and reporting reliability at scale (4,000+ item cleanup, validation rules) - Fast learner with demonstrated self-taught AI infra and algorithmic trading experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong match with excellent foundation in systems architecture, cloud infrastructure, and automation. Candidate demonstrates DevOps competencies through self-hosted infrastructure, production system design, and automation expertise. Missing some specific enterprise tools but shows proven ability to learn and implement complex technologies. **Strengths:** - Strong Python automation and scripting - Self-hosted AI infrastructure demonstrating advanced systems knowledge - Proven track record of building production-level automated systems **Missing Required:** 7+ years Linux System Administration, 5+ years Windows Administration, 4+ years AWS experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong match on project ownership, structuring complex information, and bridging AI/Data/IT topics to business stakeholders, plus fluent English and Emerging Markets experience. The main gaps are lack of explicit PMO/portfolio-governance titles and limited evidence of formal portfolio reporting/dashboards, though similar responsibilities are implied by prior roles. Overall, this is a technically strong candidate who slightly over-indexes on architecture/engineering versus classic PMO, but aligns well with the role’s stakeholder and program-translation focus. **Strengths:** - Proven ability to translate complex Data/AI and IT initiatives into practical business impact, aligning well with the “what this means for each market” requirement. - Strong ownership, autonomy and proactive profile demonstrated by founding and running automated e-commerce and self-teaching advanced AI infrastructure. - Solid foundation in analytics, KPIs and supply chain/operations in Emerging Markets, plus fluent C2 English and experience working across business and technical stakeholders. **Missing Required:** explicit prior role titled Project / Portfolio / PMO Analyst or Business Analyst in a multinational environment (responsibilities are present but titles are different)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is highly skilled in AI infrastructure, systems integration, and project management within the IT and software development domains. However, this role explicitly requires a degree in Architecture and Urbanism, extensive professional experience in corporate architectural projects and construction, and proficiency in specialized architectural software. The candidate's background presents critical, non-negotiable gaps in the fundamental domain knowledge, education, and tools required for this specific Architect position, resulting in an automatic disqualification. **Critical Gaps:** - Formação superior em Arquitetura e Urbanismo - Mínimo de 10 anos de experiência profissional em projetos e obras corporativas - Sólido conhecimento em legislação urbanística, normas técnicas e regulamentações aplicáveis - Domínio de Autocad, Revit (BIM), Lumion (as these indicate a different domain of expertise) **Strengths:** - High proficiency in English (C2 Certified/Fluent) - Proven track record as a Fast Learner and self-taught expert in complex technical domains - Strong experience in project management and team coordination - Proficiency in general office tools (Excel, PowerPoint) and project planning concepts **Missing Required:** Espanhol intermediário

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong technical expertise in software engineering, AI infrastructure, and supply chain systems. However, the job requirements are fundamentally rooted in civil architecture, decoration, and landscaping design, which represents an entirely different domain. The core responsibilities and essential software skills (AutoCAD, Sketchup) are critically absent or in a non-transferable context, leading to a significant domain mismatch. **Critical Gaps:** - AutoCAD - Sketchup - Decoration and landscaping project development - Preliminary architectural study and design phases - Critical analysis of 3D architectural images - On-site assembly and model validation for common areas in construction - Experience in architectural drawings and projects **Strengths:** - Proficiency in Microsoft Office Suite - Strong background in purchasing and supply chain management processes - Demonstrated fast learning ability and adaptability across complex technical domains

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong systems architecture, leadership, and Python expertise with a proven fast-learner track record. However, there is a critical gap in direct, recent embedded systems development experience, and key embedded technologies like RTOS, specific IoT protocols, and formal modeling methodologies are largely absent, which are fundamental to the 'IoT-enabled digital elevator solutions' domain. **Critical Gaps:** - Embedded systems expertise **Strengths:** - Robust Systems Architecture & Leadership Experience - Strong Python Development and Automation Expertise - Proven Fast Learner with a trajectory towards complex technical roles **Missing Required:** 5-7 years experience with computer science or software engineering related project work in embedded development, Deep knowledge of UML and system modeling methodologies, Strong background in embedded systems, IoT protocols, Knowledge of real-time operating systems (RTOS), Linux embedded, Microcontroller architectures

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong profile for a System Architect, showcasing extensive experience in system design, API integration, and infrastructure (Docker, AWS basics). Their demonstrated leadership in building complex, automated systems, coupled with a proven fast-learner ability and career trajectory towards technical/AI roles, aligns very well with the job's demands. While there are specific technical gaps in Java/Springboot and Kafka, their foundational skills and architectural mindset make them a highly adaptable and valuable candidate. **Strengths:** - Strong system architecture, API development, and infrastructure expertise (Docker, Linux). - Proven leadership, proactivity, and ability to build complex systems from scratch. - Fast-learner with a clear career progression towards technical/AI roles, complemented by business acumen. **Missing Required:** Java / Springboot, Kafka / filas e mensageria, Oracle (database flavor), DB2 (database flavor)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong match on Python, SQL, automation, security/privacy and systems architecture, plus excellent English and engineering degree, aligns well with a Data Office environment. However, there is no direct experience with the core Azure data stack (Data Factory, Synapse, Data Lake, Storage Accounts), Spark, or explicit Data Warehouse/Lakehouse modeling, which are central requirements. Overall profile is technically strong and fast-learning but under-indexed on the specific Azure data engineering toolchain. **Strengths:** - Robust Python/SQL background with demonstrated use in production-grade automation (JIT inventory system, trading bots, client automations). - Solid infrastructure and DevOps mindset (Docker, Terraform, CI/CD, Linux, security/RBAC) valuable for building reliable, scalable data platforms. - Proven fast learner with self-taught AI infrastructure and quant projects, plus strong English and an engineering degree, indicating high upskilling potential into Azure data tooling. **Missing Required:** Hands-on experience with core Azure data services for analytics (Data Factory, Synapse Analytics, Data Lake, Storage Accounts, Azure SQL), Practical experience with Apache Spark for large-scale data processing, Experience designing and implementing Data Warehouse / Data Lakehouse / Big Data models, Explicit experience with structured Data Governance and Data Quality frameworks aligned to LGPD/GDPR

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, automation, and relevant domain expertise (FinTech/Logistics). However, the complete absence of experience with the explicitly required Javascript, NodeJS, Express, and Mongo stack significantly impacts the match, despite strong inferred skills and a 'fast learner' profile. **Critical Gaps:** - Extensive experience with Javascript, NodeJS, Express, Mongo stack **Strengths:** - Systems Architecture & Automation Expertise - Domain Expertise (Logistics, FinTech) - Proven Fast Learner & Intentional Career Trajectory

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong technical acumen in AI infrastructure, Python, and general systems architecture, with a notable self-learning ability. However, the role requires deep functional SAP MM/WM expertise and project experience, which are entirely absent from the candidate's profile, constituting a critical domain mismatch. **Critical Gaps:** - Deep functional expertise in SAP MM/WM modules - Practical experience with SAP ECC and S/4HANA implementations - SAP-specific localization, pricing, and inbound process knowledge **Strengths:** - Proven self-teaching and fast-learner track record - Strong background in systems architecture and automation - Multilingual (Portuguese, English) **Missing Required:** SAP Procurement Knowledge (MM), WM/ eWM, SAP Localization BR, Pricing (SAP context), Inbound Process (SAP context), Pre-sales and Presentation expert, 10+ years of experience on SAP projects (ECC), MM Consultant

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match for the Solution Architect role, demonstrating extensive experience in API integration, distributed systems architecture, and robust DevSecOps practices. Their career trajectory and fast learner attributes further enhance their profile, outweighing minor gaps in specific desired technologies. **Strengths:** - Strong Solution Architecture and System Integration Experience - Proven Expertise in APIs, Distributed Systems, and DevSecOps - Exceptional Career Trajectory and Fast Learner Capabilities **Missing Required:** Kubernetes, OpenShift, SQL Server, Storage de objetos

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, cloud, and data pipeline experience, with direct leadership and system design roles. While Snowflake expertise is not explicit, adjacent skills in cloud infrastructure, SQL databases, and data modeling are present, and the candidate's fast learner track record mitigates this gap. ETL, governance, and stakeholder collaboration are inferred from multiple roles, but direct experience as a Data Architect and with Snowflake is missing. **Strengths:** - Cloud infrastructure and automation - Complex system architecture and leadership - Fast learner with proven self-teaching in AI and data domains **Missing Required:** Snowflake (no direct experience), Data Architect (no explicit title)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a strong general systems architect and fast learner but lacks the mandatory Spanish language skills and critical Salesforce-specific experience required for this Salesforce Industries (SFI) Technical Architect role, leading to disqualification. **Critical Gaps:** - Lack of Salesforce Industries (SFI) Technical Architect experience. - Lack of deep Sales Cloud architecture and customization experience. - No experience with Salesforce development technologies (Apex, LWC, Flows). - Missing mandatory Spanish language fluency. **Strengths:** - Strong General Systems Architecture and Integration - Proven track record of building and deploying complex, automated production systems - Exceptional 'Fast Learner' with demonstrated self-teaching and career progression **Missing Required:** Salesforce Industries (SFI), Sales Cloud, Salesforce configuration, Apex, LWC, Flows, Fluent Spanish communication

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical foundation with demonstrated systems architecture experience, though missing some specific technology requirements. Candidate shows excellent progression from business domains to technical leadership with proven ability to build production systems from scratch. The SSO/security knowledge and English proficiency are strong matches. **Strengths:** - SSO/OIDC security expertise - Production systems architecture from JIT automation - Technical leadership and cross-functional collaboration **Missing Required:** Node.js, Vue.js, MongoDB, Azure, React Native, Kubernetes

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] Critical disqualification due to multiple hard filters: This is an internship position ('Estágio') requiring current student status, while candidate is 33yo with 10+ years experience. Additionally, position has affirmative action requirements for LGBTQIAP+ individuals which candidate doesn't meet. **Critical Gaps:** - Age/experience level - position is for students/interns, candidate is senior professional - Demographic requirements - affirmative action position for LGBTQIAP+ candidates **Strengths:** - Strong Python and AI infrastructure experience - System architecture and integration skills - Self-hosted LLM experience highly relevant **Missing Required:** Student enrollment, Internship-appropriate experience level

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Candidate shows strong technical foundation and data engineering experience through automated inventory systems and data pipeline work, but lacks specific data governance certifications (critical requirement) and formal data warehouse/big data experience. Geographic mismatch (Brazil-based vs Brasília on-site) is also concerning. **Critical Gaps:** - Required professional certifications (CDPSE, CDMP, etc.) - BLOCKING - On-site Brasília requirement vs Brazil remote location **Strengths:** - Strong PostgreSQL/MySQL database experience matches requirement - Proven system architecture and automation capabilities - Python data processing experience (Pandas/NumPy from trading) **Missing Required:** Minimum 2 professional certifications from specified list, Formal Data Warehouse experience, Datalake management experience, Big Data technologies

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong general systems architecture, automation, and AI infrastructure experience with excellent soft skills. However, the role is highly specialized in mobile telecommunications network engineering, and the candidate lacks core competencies in mobile networks, MVNO architecture, 5G Core, and specific telecom protocols, leading to critical domain gaps. **Critical Gaps:** - Excellent understanding of Mobile Networks and its architectures - Experience with MVNO architecture(s) and landscape - Experience with 5G Core Mobile Networks **Strengths:** - Strong background in Systems Architecture and Integration, including 'metal-up' architecture. - Proven ability to build and automate complex production-grade systems from concept to execution. - Exceptional 'Fast Learner' profile demonstrated by self-taught AI infrastructure and algorithmic trading, combined with strong business acumen and communication skills. **Missing Required:** Network protocols like MAP, CAMEL, SIGTRAN, DIAMETER, SIP, Knowledge and experience of OCS and Gy/Sy interfaces, Experience with VoLTE and VoWiFi, Experience with LTE, 5G, IMS technologies and protocols, Experience with monitoring tools and protocols in Mobile Networks

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Candidate is a skilled Systems Architect with strong technical foundation, but lacks the critical SAP S/4HANA expertise required for this role. While he has relevant experience in system architecture, cloud infrastructure, and client consulting, the position specifically requires SAP implementation experience, pre-sales consulting in SAP technology, and knowledge of SAP S/4HANA Cloud (RISE) offerings. **Critical Gaps:** - SAP S/4HANA expertise - BLOCKING - SAP implementation experience - BLOCKING - SAP pre-sales consulting experience - BLOCKING **Strengths:** - Strong system architecture background - Excellent client-facing experience - Advanced English proficiency **Missing Required:** SAP S/4HANA implementation experience, SAP migration project experience, SAP technology consulting background, SAP platform knowledge

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5-mini] Strong technical and architectural fit: proven delivery of production systems, self-hosted LLM clusters, API integrations, Docker, Terraform, SSO/OIDC/SAML and Python-based automation. However the role requires native-level German (hard requirement) which the candidate does not have, so despite the high technical match the candidate is ineligible for this role. **Critical Gaps:** - Native-level German language proficiency (hard filter — disqualifying) **Strengths:** - Proven AI infrastructure experience (self-hosted LLM clusters, GPU usage, privacy-first deployments) - Delivered end-to-end production systems (JIT inventory automation with measurable ROI) - Broad integrations and infrastructure skillset (APIs, Docker, Terraform, Linux, SSO) with strategic, cross-functional leadership **Missing Required:** Native-level German (required by role, not present), 6+ years in enterprise-facing technical roles specifically in B2B SaaS (explicit SaaS enterprise-facing experience not demonstrated), Kubernetes (required: Docker/Kubernetes listed; Kubernetes not shown)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong general systems architecture, infrastructure, and client-facing skills, along with a proven fast-learner track record. However, there is a critical and complete absence of experience with SAP S/4HANA implementations, migrations, and general SAP technologies, which are core requirements for an 'SAP Solutions Architect' role. **Critical Gaps:** - Solid knowledge in SAP S/4HANA implementations and migration projects - Understanding of SAP technologies (versions, platform interdependencies) - Experience in SAP technology consulting and/or pre-sales **Strengths:** - Strong general Systems Architecture and 'metal-up' infrastructure experience. - Proven track record as a 'Fast Learner' with significant self-taught technical capabilities. - Excellent communication, consulting, and client-facing skills. **Missing Required:** Solid knowledge in SAP S/4HANA implementations and migration projects, Understanding of SAP technologies, SAP technology consulting/pre-sales experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general systems architecture, engineering, and client-facing skills, coupled with a proven fast-learner ability. However, the role is highly specialized for an SAP Solutions Architect, and the candidate entirely lacks experience and knowledge in SAP S/4HANA implementations, consulting, and technologies, creating critical domain gaps that cannot be overcome by transferable skills. **Critical Gaps:** - SAP S/4HANA implementations and migration projects - Practical experience in SAP technology consulting and/or pre-sales - Good understanding of SAP technologies (versions, platform interdependencies) **Strengths:** - Strong general systems architecture and engineering experience. - Proven track record as a 'Fast Learner' with diverse project experience. - Excellent communication and client-facing skills.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match for the AI Solution Architect role, demonstrating extensive experience in AI/ML solution design, systems architecture, and translating business requirements into technical implementations. Their proven 'fast learner' ability and career progression towards AI infrastructure are highly advantageous, despite minor gaps in specific Microsoft cloud technologies. **Strengths:** - Extensive experience in designing and implementing AI/ML solutions (LLMs, Python, algorithmic trading). - Proven ability to bridge business needs with technical solutions, acting as a systems architect and consultant. - Strong track record of independent work, project management, and rapid learning in cutting-edge technologies. **Missing Required:** Microsoft Fabric, Azure ecosystem

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile as a Solutions Architect with significant experience in system design, automation, and AI infrastructure, backed by impressive self-learning capabilities. The career trajectory is highly relevant. However, specific required expertise in expert-level cloud platforms, advanced batch/stream data processing, Java, and a broader range of modern database systems (NoSQL/data warehousing) are missing, preventing a 'STRONG_MATCH'. The geographic requirement for Dhahran, Saudi Arabia, is also a critical consideration. **Critical Gaps:** - Requires relocation to Dhahran, Saudi Arabia (Candidate based in Brazil). This is a potential disqualifier if relocation is mandatory and not feasible for the candidate. **Strengths:** - Proven Solutions Architect and Systems Integration experience, especially in building automated, self-sustaining systems and AI infrastructure. - Strong hands-on technical skills in Python, SQL, Docker, and CI/CD, with a track record of deploying complex data-driven solutions. - Exceptional 'Fast Learner' with demonstrated ability to quickly master new, complex technical domains, evident in self-taught AI infrastructure and algorithmic trading. **Missing Required:** Expert-level experience in one major cloud provider (beyond AWS Basics), Extensive experience with Batch and Stream Processing, Java programming language, Extensive experience with NoSQL/NewSQL databases (e.g., MongoDB, Cassandra), Extensive experience with Data Warehousing/Lakehouses (e.g., Snowflake, Databricks, BigQuery), Knowledge of Enterprise Architecture Principles, Experience migrating on-premise infrastructure to cloud-native architectures

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical match with excellent systems architecture background and proven ability to bridge business-technology gaps. Candidate demonstrates solution architecture experience through self-hosted infrastructure and automated systems, though lacks specific banking domain knowledge and some required enterprise frameworks. **Strengths:** - Systems Architecture with business alignment - Self-taught infrastructure scaling (LLM clusters) - Production automation systems (JIT inventory) **Missing Required:** SOA/EDA architecture patterns, Enterprise security frameworks (OAuth/OIDC), Banking domain knowledge

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong match with excellent architectural foundations and cloud infrastructure experience. The candidate demonstrates proven system design capabilities (JIT inventory, automated e-commerce, self-hosted LLM clusters) that directly align with solution architecture requirements. Missing some specific enterprise SaaS platforms (CloudAMQP, Confluent) and managed Kubernetes services, but has foundational knowledge in Docker, cloud basics, and system integration. Fast learner profile (33yo, self-taught AI/trading systems) mitigates technology gaps. **Strengths:** - Proven end-to-end system architecture (JIT inventory system with 95%+ reliability, zero manual maintenance) - Strong cloud and containerization foundation (Docker, Terraform, AWS basics, self-hosted AI clusters) - Excellent business-to-technical translation ability (10+ years bridging supply chain/finance with technical implementation) **Missing Required:** Managed Kubernetes services (GKE/EKS/AKS/OKE), Enterprise SaaS platforms (CloudAMQP, Mongo Atlas, Confluent), Azure and Google Cloud platform experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] This candidate is an exceptional match, demonstrating strong hands-on AI/ML and systems architecture expertise with a clear career progression towards AI. While there are minor gaps in specific pre-sales experience duration and Azure familiarity, their 'Fast Learner' trait and current skill set position them as a strong, adaptable candidate for an AI Solution Architect role. **Strengths:** - Extensive hands-on experience in AI/ML solution design, including LLMs and traditional machine learning models. - Strong systems architecture and production-grade system building experience, with a focus on automation and ROI. - Clear and intentional career trajectory towards AI infrastructure, supported by strong 'Fast Learner' evidence and continuous education. **Missing Required:** 5+ years of experience specifically leading technical responses to RFPs and RFIs (explicit pre-sales leadership duration), Familiarity with Microsoft Fabric and the Azure ecosystem