Principal Data Architect

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!

The Data & AI Architect sits within B&B Retail Technology Data & AI organization and supports retail wide data and AI initiatives spanning investment platforms and portfolio operations. We are seeking a seasoned Data & AI Solutions Architect at the Lead/Principal level to serve as the technical authority and strategic design leader of B&B Retail data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization.

Role will be responsible for defining the overarching architecture across our data platforms, AI/ML systems, data governance frameworks, and integration patterns — ensuring they are cohesive, scalable, secure, and aligned with our business & Product strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the Retail technology leadership, and business domain leaders.

This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.

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.

Architect and evolve hybrid data platform built on MSFT Azure, Databricks, Google ensuring the platform supports batch, streaming, & real-time data workloads across all domains.

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.