Principal Data Architect

About the role

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a Principal Data Architect to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL.

Responsibilities

• Define and own the Retail data and AI architecture blueprint, covering data ingestion, storage, transformation, serving, governance, and AI/ML deployment.
• Establish the target state architecture across cloud platforms, data products, AI systems, and integration patterns - with a clear, pragmatic roadmap from current to future state.
• Lead architecture governance - chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI/ML, and analytics teams.
• Translate business strategy and regulatory obligations into concrete, actionable architectural decisions with well-documented tradeoffs.
• Serve as the primary technical liaison between Corporate, Retail IT leadership, and enterprise architecture functions across B&B.
• Design the Medallion architecture and enforce Lakehouse best practices including Delta Lake, Unity Catalog, data product publishing patterns aligned to Data Mesh principles.
• Define data modeling standards across entities ensuring consistency.
• Oversee the architecture of the reference MDM platform and its integration with upstream policy systems, downstream analytics, and the data Lakehouse.
• Design enterprise data integration patterns - API-first, event-driven, and ETL/ELT architectures and Integrations to source systems both Internal & external.
• Ensure platform architecture meets high availability, disaster recovery, scalability, and cost efficiency requirements for a regulated insurance environment.
• Define the Retail AI/ML architecture - spanning model development, training, deployment, monitoring, and governance - built on Databricks Mosaic AI, Azure Machine Learning, and Azure OpenAI.
• Architect the MLOps platform including CI/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving.
• Design Generative AI and LLM architectures - including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails – for broking insurance use cases across underwriting, claims, and actuarial functions.
• Establish AI governance and model risk management frameworks ensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations.
• Evaluate and recommend foundational models, AI platforms, and emerging technologies maintaining an architectural view of the evolving AI landscape and its applicability.
• Design the enterprise data governance architecture in partnership with the Data Governance function - covering data cataloging, lineage, classification, quality, and stewardship workflows.
• Define data access control and security architecture - including RBAC, ABAC, column/row-level security, data masking, and encryption standards across all platform layers.
• Ensure architecture adherence to regulatory and compliance requirements.
• Audit and design data lineage to support certification, audit readiness, and regulatory examination requirements.
• Define and maintain the enterprise data and AI engineering standards - including coding standards, design patterns, testing frameworks, CI/CD practices, and documentation requirements.
• Create and curate a reference architecture library of reusable patterns for ingestion, transformation, serving, AI deployment, and integration - reducing duplication and accelerating delivery across domain teams.
• Conduct architecture reviews and design critiques for major initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.
• Mentor and coach senior data engineers, ML engineers, and domain architects - elevating the overall technical quality and architectural thinking across the team.
• Stay current with the evolving data and AI technology landscape and bring forward well-reasoned recommendations for platform evolution.
• Cross-functional leadership & stakeholder engagement: Partner with business leaders to understand domain data needs and translate them into durable architectural solutions. Collaborate with Enterprise IT, Enterprise Architecture, Information Security, and Vendor Management to ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy. Represent data and AI architecture in vendor evaluations, RFPs, and technology due diligence - providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.
• Produce executive-ready architecture documentation, roadmaps for Retail Data & AI and senior leadership consumption.

Requirements

• Education: Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree is strongly preferred.
• Experience: 7+ years of progressive experience in data architecture, data engineering, or enterprise architecture roles - with at least 4 years in a senior or lead architect capacity.
• Technical Skills: Proven track record of 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.
• Soft Skills: Experience working directly with senior business leaders as a technical advisor and architecture authority.

Qualifications

• Experience with Microsoft Azure, Google Cloud, and Databricks.
• Strong understanding of data governance, security, and compliance requirements.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent problem-solving and analytical skills.

Skills

• Data Architecture
• Data Engineering
• Enterprise Architecture
• AI/ML Architecture
• Data Governance
• Data Security
• Cloud Technologies (Azure, Google)
• Financial Services
• Insurance Industry
• Regulatory Compliance

Benefits

• 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
• Additional Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Pay

TBD

Schedule

TBD