Senior Data Architect

Tokio Marine HCC (TMHCC) brings 50 years of service to the specialty insurance industry today offering over 100 products to commercial customers in 180 countries around the growth and over 60 successful acquisitions have grown our 2022 Gross Written Premium (GWP) to $5 workforce has grown to 4300 worldwide big but not so big that you cannot make a Good Company values including integrity empowerment and commitment to customer service and a culture of innovation communication and collaboration make TMHCC a great place to work.

For over 50 years HCC Life Insurance Company operating as Tokio Marine HCC A&H Group has been at the forefront of medical stop loss addition to traditional stop loss we offer captive and Taft-Hartley stop loss solutions Organ & Tissue Transplant insurance and MedPlus insurance. Tokio Marine HCC A&H Group is rated A (Superior) by A.M. Best Company and benefits from the financial stability of its parent company Tokio Marine HCC.

This role is located onsite in Kennesaw GA

Position Summary:

The Data Architect will play a key role in designing and enabling the future-state enterprise data platform for the Medical Stop Loss business. The role will define the architecture data models integration patterns and technical standards for a modern enterprise data warehouse and analytics ecosystem built on Microsoft Fabric and Azure.

This role requires strong enterprise data warehousing expertise combined with modern cloud data architecture experience. The Data Architect will work closely with business SMEs Data & Analytics Application Engineering Enterprise Architecture and other technology teams to ensure data across key business domains is integrated standardized governed and readily available for reporting analytics AI and operational decision-making.

Key Responsibilities:

• Define and maintain the target-state architecture for the enterprise data warehouse and broader data platform using Microsoft Fabric and Azure.
• Establish architectural patterns and standards for data ingestion transformation storage modeling integration and consumption.
• Apply established enterprise data warehousing principles and best practices to create a scalable maintainable and extensible data environment.
• Lead the design of conceptual logical dimensional and physical data models supporting key Medical Stop Loss business domains.
• Define approaches for integrating data from Policy Administration Claims Underwriting external partners and other operational systems.
• Establish patterns for handling source-system differences data standardization incremental processing historical data change data capture and evolving source structures.
• Partner with business SMEs and Data & Analytics teams to establish common business definitions canonical entities relationships and data rules.
• Design warehouse structures and semantic models that effectively support enterprise reporting analytics self-service BI and AI/ML use cases.
• Provide architectural guidance to Data Engineers and conduct data model pipeline and solution design reviews to ensure alignment with target-state standards.
• Partner with application and solution architects to ensure modern applications and services produce data that can be effectively integrated into the enterprise data ecosystem.
• Define and promote standards for data quality reconciliation metadata lineage governance security privacy and appropriate access to sensitive information.
• Establish reusable data architecture patterns and standards that reduce duplication and improve consistency across business domains and engineering teams.
• Support modernization and migration of existing data warehouses databases reporting solutions and data pipelines into the future-state architecture.
• Evaluate Microsoft Fabric and Azure capabilities and recommend appropriate technologies and patterns based on business needs scalability performance security maintainability and cost.

Education Experience & Knowledge:

• Deep understanding and hands-on implementation experience with enterprise data warehousing principles architecture design patterns and best practices.
• Demonstrated experience designing and implementing enterprise data warehouses from ingestion through consumption including data integration transformation modeling historical data management and analytical delivery.
• Strong understanding of dimensional modeling including facts dimensions star schemas conformed dimensions slowly changing dimensions surrogate keys and historical data management.
• Experience designing modern data warehouse lakehouse and medallion architectures with the ability to determine when and where different patterns should be applied.
• Strong knowledge of Microsoft Fabric including OneLake Lakehouse Warehouse Data Factory and Power BI capabilities.
• Strong experience with Azure data technologies and cloud-based data architectures.
• Strong understanding of ETL/ELT patterns incremental data processing change data capture data reconciliation and integration of heterogeneous source systems.
• Strong SQL skills and understanding of data engineering practices performance optimization scalability and workload management.
• Experience designing data architectures supporting enterprise reporting semantic models self-service BI advanced analytics AI/ML and GenAI use cases.
• Strong understanding of data quality metadata management lineage governance security privacy and master/reference data concepts.
• Experience establishing reusable data architecture patterns development standards naming conventions and data modeling practices across engineering teams.
• Ability to translate complex business concepts and processes into sustainable enterprise data models and architecture.
• Experience providing architectural guidance and conducting data models pipelines and solution design reviews with Data Engineering and BI teams.
• Experience modernizing legacy data warehouses and migrating analytical workloads to modern cloud-based data platforms.
• Strong collaboration skills across business SMEs Data Engineering BI Application Engineering Enterprise Architecture and technology leadership.
• Experience in insurance healthcare financial services or another data-intensive and regulated industry preferred.
• Medical Stop Loss or Accident & Health insurance experience is a plus.

Tokio Marine offers a competitive salary and benefits package including:

• Generous paid time off (PTO) 12 paid company holidays
• 401(k) Retirement Plan with 6% company match.
• Health and dental insurance and vision plan available.
• Company-provided long-term disability and life insurance.
• Opportunities for advancement in a successful and growing organization.
• Flexible work schedules and a great work/life balance.
• Paid Parental Leave.
• Volunteer Time Off.
• Enjoy casual dress and work in a modern comfortable office with free parking.
• Hybrid work schedule

The Tokio Marine HCC Group of Companies offers a successful dynamic organization experiencing rapid growth and are seeking energetic and confident individuals to join our team of professionals. The Tokio Marine HCC Group of Companies is an equal-opportunity employer. Please visit for more information about our companies.

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Required Experience:

Senior IC