Lead Fabric Analytics Engineer

Inizio Partners; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Inizio Partners is seeking a Senior Data Architect to design and implement end-to-end data platforms using Microsoft Fabric and Azure for insurance datasets. You will build scalable data models, ingestion pipelines, lakehouse architectures, and governance controls across NAIC-compliant environments.

You will guide engineers, review designs, and align with enterprise cloud strategy, security, and cost governance while optimizing performance and reliability for remote US/Canada teams.

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.
• Design scalable data models, integration patterns, and storage strategies for insurance data.
• Create architectural blueprints, reference architectures, and reusable frameworks.
• Develop and manage ingestion pipelines using Fabric Data Factory for batch and real-time data.
• Build Lakehouse-centered architectures for analytics, reporting, and ML workloads.
• Optimize data pipelines for performance, reliability, and cost in Azure and Fabric.
• Collaborate with Data Governance for lineage, metadata, and data quality rules.
• Implement governance and compliance within Fabric including cataloging and access control.
• Support regulatory requirements for NAIC guidelines and state laws for insurance data.
• Partner with cloud security teams to optimize Fabric deployments with Azure AD and Purview.
• Ensure alignment with enterprise cloud strategy, security frameworks, and guardrails.
• Evaluate new Fabric features and modernization opportunities.
• Collaborate with business to translate domain requirements into scalable data solutions.
• Provide technical direction and architectural guidance to engineers and BI developers.
• Lead design reviews and enforce architectural consistency across initiatives.
• Define Fabric best practices for performance tuning, storage optimization, and cost governance.

Skills

SQL

Python

Data modeling

Data governance

Stakeholder management

Communication

Cloud data architecture

Data mesh

Education

Azure Data Engineer certification

Tools

Microsoft Fabric

Azure Synapse

Databricks

Power BI

Microsoft Purview

Job description

This role is open for US or Canada (Remote)

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.