Data Architect – Microsoft Fabric
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Job Description
Microsoft Fabric Data Architect designing secure enterprise data platforms for Argano, a digital consultancy. Leading Fabric landing zones, analytics, governance, and generative AI architecture.
Responsibilities:
- 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 lead implementation of Microsoft Fabric landing zones, including tenant architecture, workspace topology, domain strategy, capacity planning, environment separation, naming standards, and security boundaries
- Establish role-based access control, Microsoft Entra ID integration, workspace governance, sensitivity labels, data-protection controls, and Microsoft Purview integration
- Architect ingestion and transformation frameworks for ERP, CRM, SaaS, legacy databases, APIs, files, and event streams
- Establish standards for data quality, lineage, transformation, metadata, master data management, schema evolution, and source-to-target mapping
- Establish governance frameworks and policies for metadata, lineage, classification, stewardship, retention, access, auditability, privacy, and compliance
- Design scalable semantic models for enterprise reporting, self-service analytics, and AI workloads
- Guide Power BI architecture, performance optimization, security, deployment, and governance
- Architect secure, scalable AI and large language model solutions using enterprise data, Azure OpenAI, and Microsoft Fabric
- Design retrieval-augmented generation, semantic search, vectorization, prompt orchestration, model-serving, and agent-based solution patterns
- Implement Fabric DevOps practices using Azure DevOps, GitHub Enterprise, deployment pipelines, source control, CI/CD automation, and Infrastructure as Code
- Establish monitoring, logging, capacity management, cost management, incident response, and platform-support models
- Serve as 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
Requirements:
- 10+ years of experience in data architecture, data engineering, business intelligence, or enterprise analytics
- 5+ years designing Azure-based enterprise data platforms
- Demonstrated 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
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