Principal Data Architect

Sandy Springs ("Atlanta"), GA, USA

Open 4 months, first seen by us 121 days ago

Pay: Pay not listedSimilar roles state $154K–$226K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Define and own the Retail data and AI architecture blueprint and roadmap
Chair design reviews and enforce architecture standards across teams
Design the Medallion Lakehouse architecture and data integration patterns
Define the Retail AI/ML architecture, MLOps platform, and GenAI/RAG systems
Design data governance, access control, and lineage architecture

From the employer’s posting

Define and own the Retail data and AI architecture blueprint

chairing design reviews, evaluating technology proposals, and enforcing standards

Design the Medallion architecture and enforce Lakehouse best practices

Define the Retail AI/ML architecture - spanning model development

Design the enterprise data governance architecture in partnership with the Data Governance function

What you’ll bring

All qualifications

Core experience

Seasoned architect experience at Lead/Principal level
Experience with Azure, Databricks, and Delta Lake
Experience with MLOps, MLflow, and model serving

Preferred experience

Master's degree is strongly preferred.

Qualification wording

seeking a seasoned Data & AI Solutions Architect at the Lead/Principal level

built on MSFT Azure, Databricks, Google

experiment tracking (MLflow), and production model serving

Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree is strongly preferred.

Education & alternatives

Education Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree is strongly preferred. Experience

Apply at Bbinsurance

Posting record

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Open 4 monthsWe first saw this posting 121 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 9, 2026121 days ago
Recorded sightings: 235
Last seen by us: Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,013 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 121

Up longer than most. Similar jobs usually come down between day 7 and day 55.

Well past Bbinsurance’s usual: its jobs come down by about day 28.

From 8,341 similar postings that came down, and 22 of Bbinsurance’s. Coming down is not always a hire.

Bbinsurance is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Azure
Databricks
Delta Lake
MLflow

Where the posting names them

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.

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.

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.

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

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.

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About Bbinsurance

People: About 14,531 in 2025, up 33% from the year before.Annual report (SEC Form 10-K)
Company: Listed as BRO.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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”.

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