Data Architect – Microsoft Fabric

🕒 Outubro 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 11%

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Argano

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🏢 Corporativo

🤖 Inteligência Artificial

Consulting • Enterprise • Artificial Intelligence

Argano é uma empresa de consultoria de transformação digital e gestão que ajuda empresas a projetar e implementar operações de alta performance. Oferece consultoria estratégica e de negócios, consultoria de performance e serviços completos de tecnologia para empresas (migração para a nuvem, desenvolvimento de aplicações, ERP e aplicações de negócios, serviços gerenciados e suporte a aplicações). A Argano também oferece capacidades em IA e dados — abrangendo IA generativa, IA agêntica, orquestração e governança de IA, engenharia de dados, armazenamento de dados e inteligência de negócios — para integrar IA nos fluxos de trabalho operacionais. A empresa faz parceria com grandes fornecedores de tecnologia (Microsoft, Oracle, SAP, AWS, Snowflake, Blue Yonder, Salesforce, entre outros) e atende clientes nos setores de cadeia de suprimentos & logística, varejo/distribuição/CPG, manufatura, saúde & ciências da vida, serviços financeiros e construção.

Descrição

• Design and implement enterprise-scale Microsoft Fabric solutions across OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Power BI, notebooks, and Spark • Define enterprise data-platform standards, reference architectures, reusable patterns, and workload boundaries • Design and optimize Direct Lake, Import, and Composite semantic model architectures • Establish scalable, multi-domain data architectures for enterprise analytics, artificial intelligence, and machine learning workloads • Lead Microsoft Fabric landing-zone design and implementation • Define tenant architecture, workspace topology, domain strategy, capacity planning, environment separation, naming standards, and security boundaries • Design role-based access control, Microsoft Entra ID integration, workspace governance, sensitivity labels, data-protection controls, and Microsoft Purview integration • Develop landing-zone blueprints supporting scalability, compliance, observability, operational excellence, and repeatable onboarding • Define connectivity and network-integration patterns, including gateways, private connectivity, managed identities, secrets management, and hybrid data access • Architect ingestion and transformation frameworks for ERP, CRM, SaaS, legacy databases, APIs, files, and event streams • Design Bronze, Silver, and Gold medallion patterns using Fabric Lakehouse and Warehouse • Establish standards for data quality, lineage, transformation, metadata, master data management, schema evolution, and source-to-target mapping • Define batch, near-real-time, and streaming integration patterns with end-to-end observability and supportability • Establish governance frameworks using Microsoft Fabric and Microsoft Purview • Define policies for metadata management, lineage, classification, stewardship, retention, access, auditability, privacy, and compliance • Design secure architectures using Microsoft Entra ID, MFA, Conditional Access, private endpoints, Azure Key Vault, managed identities, and Privileged Identity Management • Design scalable semantic models for enterprise reporting, self-service analytics, and AI workloads • Establish conformed dimensions, KPI frameworks, reusable measures, and standardized business definitions • Guide Power BI architecture, performance optimization, security, deployment, and governance • Enable governed self-service analytics through certified and reusable semantic models • Architect secure, scalable AI and large language model solutions leveraging enterprise data and platforms such as Azure OpenAI and Microsoft Fabric • Design retrieval-augmented generation, semantic search, vectorization, prompt orchestration, model-serving, and agent-based solution patterns • Define data, integration, API, identity, networking, and observability architectures for operationalizing AI capabilities • Establish responsible AI standards covering security, privacy, grounding, content safety, evaluation, monitoring, cost management, and human oversight • Partner with data science, engineering, security, and business teams to evaluate AI use cases and translate them into production-ready architectures • Implement Fabric DevOps practices using Azure DevOps, GitHub Enterprise, Fabric deployment pipelines, source control, CI/CD automation, and Infrastructure as Code • Define release management, branching, testing, approval, rollback, and environment-promotion strategies • Establish monitoring, logging, capacity management, cost management, incident response, and platform-support models • Automate deployments using Terraform, Bicep, YAML pipelines, fabric-cicd, APIs, and Fabric-native capabilities • Serve as the technical authority for enterprise data architecture initiatives and architecture review boards • Mentor Data Engineers, Data Analysts, BI Developers, and Solution Architects • Lead discovery workshops, technical design sessions, proofs of concept, and client-facing architecture reviews • Translate business and nonfunctional requirements into actionable platform and solution designs

🎯 Requisitos

• 10+ years of experience in data architecture, data engineering, business intelligence, or enterprise analytics • 5+ years designing Azure-based enterprise data platforms • Hands-on experience designing and implementing Microsoft Fabric solutions • Deep expertise in OneLake, Fabric Lakehouse, Fabric Data Warehouse, Data Factory, Spark notebooks, Power BI, semantic models, and Direct Lake • Strong understanding of medallion architecture, dimensional modeling, data vault concepts, lakehouse design, and distributed data-processing patterns • Experience designing enterprise landing zones, tenant and workspace strategies, governance models, and security frameworks • Expertise with Microsoft Entra ID, RBAC, Microsoft Purview, Azure Key Vault, managed identities, Conditional Access, and PIM • Experience with Git, Azure DevOps or GitHub, CI/CD, automated testing, deployment pipelines, and Infrastructure as Code • Advanced SQL skills plus hands-on Python and PySpark development experience • Experience integrating data across ERP, CRM, SaaS, APIs, event streams, and on-premises systems • Ability to create architecture diagrams, logical and physical data models, decision records, standards, and detailed solution-design documentation • Preferred: Microsoft Certified: Fabric Analytics Engineer Associate or Fabric Data Engineer Associate • Preferred: Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate • Preferred: Experience with Dynamics 365, Salesforce, SAP, Oracle, Databricks, Profisee MDM, Fivetran, or equivalent enterprise platforms • Preferred: Experience with KQL, Eventstreams, Real-Time Intelligence, machine learning, Copilot, or generative AI solution patterns • Preferred: Experience supporting architecture assessments, cloud-adoption frameworks, regulated environments, or Microsoft specialization audits

🏖️ Benefícios

• Equal-opportunity employment • Remote work arrangement