Principal Data Architect

Posted Yesterday
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3 Locations
In-Office
Senior level
Insurance
The Role
Lead technical architect for Retail data and AI platforms: define enterprise data/AI architecture, govern standards, design Lakehouse/MDM and MLOps (LLM/RAG) solutions, ensure security/compliance, guide platform evolution, and advise senior leadership.
Summary Generated by Built In

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 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. 

 

How You Will Contribute: 

Retail Architecture Strategy & Vision 

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. 

  

Data Platform Architecture 

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. 

  

AI & ML Architecture  

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. 

  

Data Governance & Security Architecture 

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 

Architect data lineage and audit trails to support certification, audit readiness, and regulatory examination requirements. 

  

Engineering Standards, Patterns & Enablement 

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. 

 

Skills & Experience to Be Successful: 

Required  

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. 

Demonstrated experience designing and delivering enterprise-scale data platforms in cloud environments, with a strong preference for Microsoft Azure, Google and Databricks. 

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. 

Experience working directly with senior business leaders as a technical advisor and architecture authority. 

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

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

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.


Recruiting Vendor Disclosure Statement

Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

The Power To Be Yourself  

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”. 

Skills Required

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or related technical field
  • Master's degree
  • 7+ years 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 (Microsoft Azure, Google Cloud, Databricks)
  • 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
  • Experience working directly with senior business leaders as a technical advisor and architecture authority

Brown & Brown Insurance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brown & Brown Insurance and has not been reviewed or approved by Brown & Brown Insurance.

  • Healthcare Strength Healthcare offerings are broad, spanning medical/Rx, dental, vision, life, disability, and added programs alongside Lyra access with up to eight no‑cost coaching or therapy sessions for teammates and covered dependents. Breadth extends to fertility/adoption solutions, second‑opinion services, diabetes care, and Medicare advocacy.
  • Retirement Support The 401(k) program includes an employer match up to 4% (100% of the first 3% plus 50% of the next 2%) with immediate vesting. Savings support is positioned as a core element of the total‑rewards package.
  • Equity Value & Accessibility An Employee Stock Purchase Plan is available, and the company emphasizes an ownership mindset with a large share of teammates as shareholders. This creates accessible equity participation alongside retirement savings.

Brown & Brown Insurance Insights

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The Company
HQ: Daytona Beach, FL
2,391 Employees
Year Founded: 1939

What We Do

Brown & Brown Insurance provides risk management solutions to help protect what our customers value most. Our four business segments offer insurance products and services to businesses and individuals. Our culture is built on integrity, innovation, superior capabilities, and discipline. We view insurance differently and use our experience, carrier relationships, and principled customer focus to deliver first-class service and solutions. Becoming a Brown & Brown teammate introduces you to a career with virtually unlimited possibilities. We think of ourselves as a team, so we have teammates—not employees. We strive to attract people who are competitive, driven, and disciplined. Our unique company culture of meritocracy rewards self-starters and those committed to doing what is best for our customers. We are proud to be certified as a Great Place to Work ®. Brown & Brown has demonstrated a Culture of Caring through dedication to the people and communities we serve. With more than 11,000 teammates in over 300 locations across the US, Canada, Ireland, the UK, Bermuda, and the Cayman Islands, we actively support numerous organizations in the local communities in which we live, work, and play. With a long-standing history of proven success, Brown & Brown is one of the insurance industry’s most powerful and influential leaders, ranked as the fifth-largest brokerage in the US and sixth in the world. You can find us on the NYSE as BRO.

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