Lead Fabrics Analytics Engineer

Inizio Partners Corp; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Inizio Partners Corp in the United States seeks a Senior Data Architect to lead end-to-end data solutions using Microsoft Fabric, Azure Data Factory, Lakehouse, and Power BI. You will design scalable data models for policy, claims, billing, actuarial, and customer data, and deliver reference architectures and reusable frameworks aligned with enterprise standards.

You will guide data engineers and BI teams, implement governance with Microsoft Purview, ensure security with RBAC and encryption,

Qualifications

• 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 (policy, claims, underwriting, actuarial, billing).
• Expertise in data modeling (dimensional, canonical, 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.
• Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
• Familiarity with modern data architecture concepts (data mesh, data fabric, 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 Fabric components and Azure services.
• Design scalable data models and storage strategies for insurance datasets (policy, claims, billing, actuarial, customer).
• Create architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise standards.
• Develop and manage ingestion pipelines using Fabric Data Factory for batch and real-time data.
• Build Lakehouse-centered architectures to support analytics, reporting, and ML workloads.
• Optimize data pipelines for performance, reliability, and cost across Azure and Fabric environments.
• Collaborate with Data Governance to ensure data standards, lineage, and metadata management.
• Implement governance and compliance within Fabric, including cataloging, sensitivity labeling, and access control.

Skills

Data architecture

Data modeling

Data governance

SQL

Python

Communication

Stakeholder management

Cloud data engineering

Data mesh / data fabric

Education

Azure Data Engineer Certification

Tools

Microsoft Fabric

Azure Data Factory

Azure Synapse

Microsoft Purview

Power BI

Databricks

OneLake / Lakehouse

Job description

Location: United States

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.
• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support 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 to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.
• Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.
• Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state‑level regulations, and data privacy laws.
• 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 new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.
• Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.
• Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.
• 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 strong data security models, including RBAC, encryption, data masking, and secure access patterns.
• Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.

Candidate Profile:

• 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 (policy, claims, underwriting, actuarial, billing).
• Expertise in data modeling (dimensional, canonical, 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.
• Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
• Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
• Certifications such as Azure Data Engineer
• Prior experience in P&C or Life insurance data modernization programs.