Data Product Architect

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett’s Berkshire Hathaway group – one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.

 

Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company’s success is grounded in our core values:  accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!

 

Benefits:

We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You’ll be surprised by all we have to offer!

• Competitive compensation
• Healthcare benefits package that begins on first day of employment
• 401K retirement plan with company match
• Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays
• Up to 6 weeks of parental and bonding leave
• Hybrid work schedule (3 days in the office, 2 days from home)
• Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation)
• Tuition reimbursement after 6 months of employment
• Numerous opportunities for continued training and career advancement
• And much more!

Responsibilities

The Data Product Architect plays a critical role in our Data and Analytics (DnA) Operating Model,

contributing to the development of a Data Marketplace that provides valuable, reusable data

products for various business domains within the federated guild.

 

In collaboration with Data Product Managers, this role defines and implements solution

architectures for data products that align with business objectives, value hypotheses, and

analytical use cases. The Data Product Architect is the custodian of technical assets, including:

• Detailed design diagrams
• Data contracts
• Domain resources (e.g., infrastructure, compute capacity, storage)

Additionally, this role administers the CI/CD DevOps process, ensuring seamless deployment and

compliance with both domain-specific and platform-wide guardrails.

 

Primary Objectives:

• Build data products that support descriptive, diagnostic, predictive, and prescriptive analytics.
• Utilize the DnA Platform’s services while allowing custom development within prescribed guardrails.
• Drive business transformation by helping domains predict and optimize outcomes at scale.

 

Key Responsibilities:

• Serve as a technical consultant for business owners and SMEs during the pre-data product development phase.
• Lead the design and implementation of scalable data product architectures.
• Ensure consistency between functional, service quality, and system management requirements.
• Represent the data product solution design within the Federated Governance Guild.
• Follow the DnA target architecture, leveraging and reusing existing patterns to align with core principles.
• Create, iterate, and maintain technical documentation and data product architecture.
• Optimize performance, cost-efficiency, and future scalability of data systems.
• Act as a Microsoft Fabric expert, ensuring scalability, security, and governance of data solutions.

 

Technical Responsibilities:

• Data Product Canvas Phase
  • Conduct data value chain analysis and assumption management.
  • Define solution requirements and establish high-level designs.
• Data Product Delivery Phase
• Develop detailed architectural designs.
• Manage infrastructure, compute capacity, and storage.
• Oversee CI/CD pipelines for data ingestion, transformation, and visualization.
• Serve as an equal stakeholder alongside the Data Product Manager during user acceptance testing.

 

Leadership & Collaboration:

• Mentor domain data engineers in best practices.
• Drive data product development and delivery to achieve business goals.
• Continuously assess data product usage and recommend enhancements.
• Collaborate with the DnA Platform team to integr