Principal Data Architect

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