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.

MINIMUM QUALIFICATIONS:

• Bachelor’s or master’s degree in computer science, Information Science, or related field.
• 6 to 8 years of hands-on experience in Data Product Architecture, with expertise in Data Mesh, Marketplace, and Product methodologies.

SOFT SKILLS & LEADERSHIP:

• Expertise in Agile software development methodologies.
• Strong understanding of Data Product Management principles.
• Ability to identify dependencies and solve complex challenges creatively.
• Excellent communication and stakeholder management skills.

PREFERRED QUALIFICATIONS & INDUSTRY EXPERTISE:

• Experience in P&C Insurance industry.
• Microsoft Certified: Fabric Data Engineer Associate certification

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.