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Compunnel Inc.

Data Architect (P&C)

Compunnel Inc., Whitpain Hills, Pennsylvania, United States

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Responsibilities

Define and maintain the enterprise data architecture framework, standards, and roadmaps aligned with P&C insurance business needs. Lead the adoption and optimization of

Microsoft Fabric

as the foundation of the enterprise data platform. Drive best practices for

data modeling, integration, storage, security, governance, and analytics enablement . Partner with business and IT stakeholders to ensure data strategy supports underwriting, claims, policy administration, regulatory reporting, and actuarial functions. Delivery & Execution

Manage and oversee the

end-to-end delivery

of data programs and projects, ensuring on-time, within-budget, and value-driven outcomes. Provide

hands-on technical leadership , including architecture reviews, solution design, and troubleshooting. Collaborate with cross-functional teams to design and deploy

scalable data pipelines, real-time processing, and analytics platforms . Ensure data solutions meet

compliance and security requirements

(e.g., GDPR, HIPAA, state/federal insurance regulations). Leadership & Team Management

Build and mentor a high-performing team of data engineers, architects, and analysts. Act as a

trusted advisor

to executive leadership on data strategy and emerging technologies. Foster a culture of

continuous improvement, innovation, and delivery excellence . Qualifications

Education : Bachelor’s degree in Computer Science, Data Management, Engineering, or related field (Master’s preferred). Experience : 12+ years of IT/data management experience, with at least 5+ years in data architecture leadership roles. Proven background in P&C insurance data domains (policy, claims, billing, underwriting, actuarial). Strong experience implementing and managing

Microsoft Fabric

(OneLake, Synapse Data Warehousing, Data Factory, Power BI, Real-Time Analytics, Governance). Demonstrated success in leading

large-scale data modernization, cloud migration, or analytics transformation programs . Technical Skills : Expertise in data modeling, data warehousing, ETL/ELT, and modern data lake architectures. Strong knowledge of Azure ecosystem (Azure SQL, Data Factory, Synapse, Purview, Power BI). Hands-on coding/architecture experience in SQL, Python, and/or Spark. Familiarity with API-driven integrations, master data management, and metadata-driven frameworks. Leadership Skills : Strong project/program management capabilities with proven track record of delivering complex initiatives. Excellent communication and stakeholder management skills, with ability to engage business executives and technical teams alike. Ability to balance

strategic oversight with hands-on delivery . Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology Industries

IT Services and IT Consulting

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