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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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloudETLUnity
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