{"schemaVersion":"jobsearcher.job.v1","id":"1f327defdddbe7939cf3a138","url":"https://jobsearcher.com/jobs/1f327defdddbe7939cf3a138","canonicalUrl":"https://jobsearcher.com/jobs/1f327defdddbe7939cf3a138","title":"Fabric Analytics Engineer","description":"Job Description: Role & Responsibilities Overview: Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.\nDesign scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.\nCreate architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.\nDevelop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.\nBuild Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.\nOptimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.\nResponsibilities: Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.\nImplement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.\nSupport regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state‑level regulations, and data privacy laws.\nPartner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.\nEnsure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.\nEvaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.\nCollaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.\nProvide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.\nLead design reviews and enforce architectural consistency across data initiatives and engineering teams.\nDefine and implement Fabric best practices for performance tuning, storage optimization, and cost governance.\nEstablish strong data security models, including RBAC, encryption, data masking, and secure access patterns.\nMonitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.\nQualifications: Candidate Profile: 7+ years of experience in data architecture, data engineering, or analytics platform design.\nStrong hands on experience with Microsoft Fabric and related Azure services.\nDeep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).\nExpertise in data modeling (dimensional, canonical, semantic models).\nStrong knowledge of data governance, metadata management, and data quality practices.\nProficiency with SQL, Python, and modern data engineering frameworks.\nExcellent communication and stakeholder management skills.\nExperience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.\nFamiliarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).\nCertifications such as Azure Data Engineer\nPrior experience in P&C or Life insurance data modernization programs.\nNeeds to work from client location in Newark, NJ\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Newark","state":"WI","isRemote":false,"isActive":true,"createdAt":"2026-07-27T03:25:32.532Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"524298","title":"All Other Insurance Related Activities","slug":"all-other-insurance-related-activities"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Fabric Analytics Engineer","description":"Job Description: Role & Responsibilities Overview: Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.\nDesign scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.\nCreate architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.\nDevelop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.\nBuild Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.\nOptimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.\nResponsibilities: Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.\nImplement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.\nSupport regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state‑level regulations, and data privacy laws.\nPartner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.\nEnsure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.\nEvaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.\nCollaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.\nProvide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.\nLead design reviews and enforce architectural consistency across data initiatives and engineering teams.\nDefine and implement Fabric best practices for performance tuning, storage optimization, and cost governance.\nEstablish strong data security models, including RBAC, encryption, data masking, and secure access patterns.\nMonitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.\nQualifications: Candidate Profile: 7+ years of experience in data architecture, data engineering, or analytics platform design.\nStrong hands on experience with Microsoft Fabric and related Azure services.\nDeep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).\nExpertise in data modeling (dimensional, canonical, semantic models).\nStrong knowledge of data governance, metadata management, and data quality practices.\nProficiency with SQL, Python, and modern data engineering frameworks.\nExcellent communication and stakeholder management skills.\nExperience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.\nFamiliarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).\nCertifications such as Azure Data Engineer\nPrior experience in P&C or Life insurance data modernization programs.\nNeeds to work from client location in Newark, NJ\n\n#J-18808-Ljbffr","datePosted":"2026-07-27T03:25:32.532Z","dateModified":"2026-07-27T03:25:32.532Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Newark","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1f327defdddbe7939cf3a138"},"url":"https://jobsearcher.com/jobs/1f327defdddbe7939cf3a138"}}