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ADF Architect – P&C Insurance

10-12 Years
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  • Posted 12 hours ago
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Job Description

Role Objective

Own and deliver the Azure Data Factory architecture for P&C insurance data platforms. This role is accountable for architecture decisions, hands-on delivery, and technical quality. You are expected to operate independently and drive outcomes. Guidewire experience is a plus, not a substitute for ADF expertise.

Core Responsibilities

  • Own ADF architecture end to end — design, standards, implementation, and enforcement.
  • Design and build enterprise-scale data pipelines handling high-volume P&C insurance data.
  • Develop complex ADF pipelines, datasets, linked services, triggers, and monitoring frameworks.
  • Integrate data across policy, claims, billing, underwriting, finance, and analytics systems.
  • Drive data ingestion from Guidewire platforms where applicable (PolicyCenter, BillingCenter, ClaimCenter).
  • Implement and enforce error handling, logging, retry mechanisms, and performance optimization.
  • Ensure data reliability, scalability, and cost control across Azure services.
  • Translate P&C insurance business requirements into executable technical designs.
  • Review and approve designs and code from other engineers; enforce engineering discipline.
  • Identify technical risks early and resolve them decisively.

Mandatory Requirements

  • 10+ years of data engineering or integration experience.
  • 5+ years of hands-on Azure Data Factory (ADF) experience in production environments.
  • Strong P&C insurance domain expertise across policy, claims, billing, underwriting, and financial data.
  • Proven experience designing and delivering complex, large-scale data integration platforms.
  • Strong SQL skills and solid data modeling fundamentals.
  • Hands-on experience with Azure Data Lake Gen2, Azure SQL, Synapse, and/or Databricks.
  • Experience working in governed, regulated environments with strict data security controls.
  • Demonstrated ability to own architecture decisions and deliver without supervision.

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Job ID: 145695937

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