Lead Fabric Analytics Engineer

Inizio Partners Corp • New York, NY

1d

About The Position

The Lead Fabric Analytics Engineer architects and implements end-to-end data solutions using Microsoft Fabric components, including Data Factory, Lakehouse, Warehouse, Real-Time Analytics, and OneLake. The role designs scalable data models, integration patterns, and storage strategies for insurance datasets such as policy, claims, billing, actuarial, and customer information. It creates architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise engineering and cloud standards.

The position develops and manages batch, streaming, and API-based ingestion pipelines; builds Lakehouse-centered architectures for analytics, reporting, and machine learning; and optimizes data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments. It works with governance, cloud engineering, security, business, and analytics stakeholders to implement governance, compliance, security, and operational practices, while ensuring alignment with enterprise cloud strategy and insurance regulatory requirements.

The role provides technical direction to data engineers, analysts, and BI developers; leads design reviews; establishes Fabric best practices; monitors platform health and operational resilience; and evaluates Microsoft Fabric features and roadmap developments to recommend adoption and modernization strategies.

Requirements

• At least 7 years of experience in data architecture, data engineering, or analytics platform design.
• Strong hands-on experience with Microsoft Fabric and related Azure services.
• Deep understanding of insurance data domains, including policy, claims, underwriting, actuarial, and billing.
• Expertise in data modeling, including dimensional, canonical, and semantic models.
• Strong knowledge of data governance, metadata management, and data quality practices.
• Proficiency with SQL, Python, and modern data engineering frameworks.
• Excellent communication and stakeholder management skills.

Nice To Haves

• Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
• Familiarity with modern data architecture concepts such as data mesh, data fabric, and Lakehouse.
• Certifications such as Azure Data Engineer.
• Prior experience in P&C or Life insurance data modernization programs.

Responsibilities

• Architect and implement end-to-end data solutions using Microsoft Fabric components, including Data Factory, Lakehouse, Warehouse, Real-Time Analytics, and OneLake.
• Design scalable data models, integration patterns, and storage strategies for insurance datasets.
• Create architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise engineering and cloud standards.
• Develop and manage batch, real-time streaming, and API-based ingestion pipelines using Fabric Data Factory.
• Build Lakehouse-centered architectures for advanced analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.
• Collaborate with Data Governance teams on enterprise data standards, lineage tracking, metadata management, and data quality rules.
• Implement Fabric governance and compliance capabilities, including cataloging, sensitivity labeling, and granular access control.
• Support compliance with NAIC guidelines, state-level regulations, and data privacy laws for insurance data.
• Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.
• Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.
• Evaluate Microsoft Fabric features, capabilities, and roadmap items, and recommend adoption and modernization strategies.
• Collaborate with business and analytics stakeholders to translate domain requirements into scalable data solutions.
• Provide technical direction and architectural guidance to data engineers, analysts, and BI developers.
• Lead design reviews and enforce architectural consistency across data initiatives and engineering teams.
• Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance.
• Establish data security models, including RBAC, encryption, data masking, and secure access patterns.
• Monitor Fabric platform health and proactively manage risks to ensure high availability and operational resilience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed