Data Architect (P&C)

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