Data Architect – Microsoft Fabric

🕒 October 1

🇺🇸 United States – Remote

💵 $120k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Argano

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

Consulting • Enterprise • Artificial Intelligence

Argano is a digital transformation and management consulting firm that helps enterprises design and implement high-performance operations. It provides strategy and business consulting, performance consulting, and end-to-end enterprise technology services (cloud migration, application development, ERP and business applications, managed services, and application support). Argano also delivers AI and data capabilities—covering generative AI, agentic AI, AI orchestration and governance, data engineering, data warehousing, and business intelligence—to embed AI into operational workflows. The company partners with major technology vendors (Microsoft, Oracle, SAP, AWS, Snowflake, Blue Yonder, Salesforce, and others) and serves clients across supply chain & logistics, retail/distribution/CPG, manufacturing, healthcare & life sciences, financial services, and construction sectors.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Equal-opportunity employment • Remote work arrangement