Lead Data Architect

James Search Group
Atlanta, GA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Cloud Engineering Data Architecture Information Engineering Data Governance Data Infrastructure Data Systems Machine Learning
+14 more
Meta-Data Management Enterprise Data Management Google Cloud Cloud Platform System Snowflake Apache Spark Data Strategy Core Data Information Technology Real Time Data Data Management Stream Processing Guidewire Databricks

Job description

Data Architecture Strategy & Governance

  • Define and execute the enterprise data architecture vision aligned to business and data strategy
  • Establish scalable, secure, and resilient architectures for data platforms, integration, and analytics
  • Develop and enforce standards, frameworks, and best practices for data modeling, governance, and architecture
  • Provide architectural oversight across major data initiatives, including platform modernization and digital transformation
  • Translate business and technical requirements into scalable data solutions
  • Guide engineering and delivery teams through the full lifecycle of data architecture and implementation
  • Develop current and future-state architecture roadmaps across key insurance data domains

Insurance Data Domain Expertise

  • Lead the design and standardization of data models across policy, claims, underwriting, and financial systems
  • Integrate core insurance platforms with enterprise data environments and third-party data sources
  • Support actuarial, underwriting, finance, and product teams with robust, scalable data solutions
  • Drive adoption of modern data technologies including cloud-native platforms, lakehouse architectures, and real-time data processing
  • Enable advanced analytics and machine learning through optimized data infrastructure
  • Embed data governance, lineage, quality, and security practices across all solutions

Leadership & Stakeholder Engagement

  • Build and lead a high-performing data architecture function, including architects, modelers, and technical leads
  • Partner closely with engineering, analytics, product, and business stakeholders to deliver impactful data solutions
  • Act as a senior advisor, promoting adoption of modern data practices and driving organizational change

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  • 12+ years of experience in data architecture, data modeling, and enterprise data management
  • 5+ years in leadership roles, building and scaling data architecture teams
  • Deep experience within P&C insurance, including core data domains (policy, claims, underwriting, finance)
  • Proven track record delivering large-scale data transformation and modernization initiatives
  • Expertise with modern data platforms and tools (e.g., Databricks, Snowflake, Spark, AWS, Azure, GCP)
  • Strong experience with data modeling (conceptual, logical, physical), governance, lineage, and metadata management
  • Experience designing cloud-native, distributed, and real-time data architectures, * Familiarity with insurance platforms such as Guidewire, Duck Creek, or Majesco
  • Experience with medallion/lakehouse architecture and advanced analytics environments
  • Cloud or data architecture certifications (AWS, Azure, GCP)
  • Background working in global or highly regulated environments

About the company

A leading global property & casualty insurance organization is seeking a Senior Director, Data Architecture to lead the design and evolution of its enterprise data ecosystem. Reporting into senior data leadership, this role will define and execute a forward-looking data architecture strategy that enables scalable growth, advanced analytics, and regulatory compliance across a complex, global insurance environment.

This is a high-impact leadership role responsible for building modern, cloud-based data architectures, establishing best practices, and ensuring consistent, high-quality data across core insurance domains including policy, claims, underwriting, and finance.

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