
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.
🔥 32 minutes ago
🇺🇸 United States – Remote
💵 $120k - $190k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer
👻 Ghost score 1%
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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.
• 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
• 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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