Data Architect

Overview

Job Title: Data Architect + Management (AVP)

Location: Blue Bell, PA (Hybrid - 3 Days Onsite)

Duration: Full Time

Interview Process: Final Round will be In-Person

Responsibilities

Data Architecture & Strategy

• 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 .
• 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 .

Details

• Seniority level : Mid-Senior level
• Employment type : Contract
• Job function : Information Technology, Engineering, and Design
• Industries : IT Services and IT Consulting, Information Services, and IT System Data Services

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