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Principal Data Architect

Berkshire Hathaway Homestate Companies
Bay Area, Californiahybrid$226,670 - $236,255Jan 20, 2026·Posted 2 months ago
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Domain

Tech Stack

AWSAzure

Must-Have Requirements

  • Bachelor's degree in Computer Science, Data Science, or related field
  • Minimum 12 years of experience in data architecture, data engineering, or system integration
  • Experience with large-scale operational systems and transactional databases
  • Experience with enterprise data feeds and analytical data pipelines
  • Experience designing data models and master data structures
  • Strong understanding of insurance data and regulatory requirements

Nice to Have

  • -Master's degree
  • -Certified Data Management Professional (CDMP)
  • -AWS Certified Solutions Architect certification
  • -AWS Data Analytics certifications
  • -Microsoft Certified: Azure Data Engineer Associate
  • -Experience with real-time integration patterns
  • -Experience with AI-enabling architectures

Description

Berkshire Hathaway Homestate Companies, Workers Compensation Division, is searching for a Principal Data Architect to design and evolve the enterprise data architecture that supports our growing business, AI adoption, and long-term strategy. This individual ensures our data ecosystem is secure, scalable, reliable, and well-governed, working hand-in-hand with the Director of Data Strategy, IT engineering teams, as well as Analytics, Claims, and Actuarial teams to build a unified, modern, and trustworthy data environment.

Must be legally authorized to work in the United States, without requiring, now or in the future, sponsorship for employment visa status.

ESSENTIAL RESPONSIBILITIES

ARCHITECTURE LEADERSHIP

Develop and evolve the enterprise data architecture blueprint including cloud, on premises, and hybrid environments ensuring alignment with business and analytical/AI needs. Set the direction for modern data integration, event driven design, master data management, and responsible AI enablement. Evaluate current systems and design a practical modernization path that reduces technical debt and improves data quality and performance.

DATA PLATFORM AND ENGINEERING DESIGN

Lead the architectural design for enterprise data platforms, including structured and unstructured data environments. Design standards for ingesting data from core policy, claims, CRM, billing, underwriting, and workflow systems. Establish scalable patterns for operational data feeds, partner data exchanges, real time integration, and analytical data pipelines. Define the strategy and technical patterns for how the company manages data copies, extracts, and transformations in a secure and governed manner.

COLLABORATION AND LEADERSHIP

Partner closely with the Director of Data Strategy to make sure architecture aligns with business priorities. Work with engineering, application teams, analytics, and actuarial groups to ensure efficient, well designed data flows. Provide technical leadership for system modernization efforts and guide how data is structured, integrated and maintained across the enterprise.

DATA QUALITY AND GOVERNANCE

Define architectural standards that support enterprise data quality, lineage, metadata, and stewardship expectations. Establish reliable integration patterns for the company’s core systems. Ensure the architecture meets audit, compliance, and security requirements.

TECHNICAL EXECUTION

Lead complex architecture reviews, solution designs, and technical roadmaps. Oversee proof of concepts, technical assessments, and platform evaluations. Bring structure and clarity to a mixed technology environment with legacy systems and modern cloud services.

QUALIFICATIONS

EDUCATION: Bachelor's degree in Computer Science, Data Science, or related field, required. Master's degree preferred. CERTIFICATIONS: One or more preferred: Certified Data Management Professional (CDMP), AWS Certified Solutions Architect or Data Analytics certifications, Microsoft Certified: Azure Data Engineer Associate

EXPERIENCE

A minimum of 12 years of experience in data architecture, data engineering, or system integration required. Strong experience with large-scale operational systems, transactional databases, and customer-facing platforms. Deep experience with enterprise data feeds, real time integration patterns, analytical data pipelines, and AI enabling architectures. Experience designing data models, integration patterns, master data structures, and governed data ecosystems. Strong understanding of insurance data, regulatory requirements, and complex transactional systems. Proven ability to influence executives, lead cross-functional teams, and communicate complex technical concepts clearly.

WHAT WE OFFER

Hybrid Work Schedule (up to 2 days work from home) Multiple Office Locations - Financial District Downtown or Walnut Creek Paid Time Off Paid Holidays Immediate Vesting of Retirement Savings + Company Match Group Health Insurance (Medical, Dental, and Vision) Life and AD&D Insurance Long Term Disability Insurance Hospital Indemnity Insurance Accident and Critical Illness Insurance Flexible Savings Accounts Paid Community Volunteer Day Employee Assistance Program Tuition Reimbursement Program Employee Referral Program Diversity, Equity and Inclusion Program