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Brown & Brown Insurance

Principal Data Architect

Brown & Brown Insurance

. Define and own the Retail data and AI architecture blueprint covering ingestion, storage, transformation, serving, governance, and AI/ML deployment .

Posted 10/4/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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Expertise in defining and owning Retail data and AI architecture, including cloud platforms and AI/ML deployment. Proven ability to translate business strategy into architectural decisions while ensuring compliance and governance.

Highest-signal resume keywords
Data ArchitectureAI/ML Systems DesignMicrosoft AzureMLOps PipelinesEnterprise Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IngestionData TransformationData GovernanceAPI-First IntegrationEvent-Driven ArchitectureETL/ELT IntegrationMedallion ArchitectureLakehouse PracticesDelta LakeUnity Catalog
Soft Skills
Technical LiaisonMentoringCollaborationCommunication
Tools & Technologies
DatabricksGoogle CloudCI/CDMLflowGenerative AILLM Architectures
Industry Keywords
Financial ServicesInsuranceBroking DomainRegulatory Compliance

Tech Stack

Tools & technologies
AzureCloudETLUnity

About the role

Key responsibilities & impact
  • Define and own the Retail data and AI architecture blueprint covering ingestion, storage, transformation, serving, governance, and AI/ML deployment
  • Establish target-state architecture across cloud platforms, data products, AI systems, and integration patterns
  • Lead architecture governance, chair design reviews, evaluate technology proposals, and enforce standards
  • Translate business strategy and regulatory obligations into architectural decisions
  • Serve as technical liaison between Corporate, Retail IT leadership, and enterprise architecture
  • Architect and evolve the hybrid data platform across Microsoft Azure, Databricks, and Google
  • Design Medallion architecture, Lakehouse practices, Delta Lake, Unity Catalog, and Data Mesh-aligned publishing patterns
  • Oversee MDM platform architecture and integrations
  • Design API-first, event-driven, and ETL/ELT integration patterns
  • Define AI/ML architecture across development, training, deployment, monitoring, and governance
  • Architect MLOps capabilities including CI/CD, feature stores, model registries, MLflow, and model serving
  • Design Generative AI and LLM architectures, including RAG, agentic frameworks, prompt management, and responsible AI guardrails
  • Establish AI governance, model risk management, explainability, auditability, and compliance frameworks
  • Design data governance, cataloging, lineage, classification, quality, stewardship, access control, and security architecture
  • Define engineering standards, reusable reference architectures, testing frameworks, CI/CD practices, and documentation requirements
  • Conduct architecture reviews and mentor senior data, ML, and domain architects
  • Partner with business and enterprise technology leaders on architectural solutions, vendor evaluations, RFPs, and due diligence
  • Produce executive-ready architecture documentation and roadmaps

Requirements

What you’ll need
  • Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field
  • 7+ years of progressive experience in data architecture, data engineering, or enterprise architecture roles
  • At least 4 years in a senior or lead architect capacity
  • Experience designing and delivering enterprise-scale data platforms in cloud environments
  • Strong preference for Microsoft Azure, Google and Databricks
  • Experience architecting production AI/ML systems, including MLOps pipelines, LLM-powered applications, and agentic frameworks
  • Significant experience in financial services, insurance, or similarly regulated industries
  • Broking domain experience strongly preferred
  • Experience working directly with senior business leaders as a technical advisor and architecture authority

Benefits

Comp & perks
  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Paid Time Off
  • Holidays
  • Preferred Partner Discounts