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 ...
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 ...
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Data Architect information
See Decatur, GA salary details
$10.56 - $17.96
1% of jobs
$17.96 - $25.37
0% of jobs
$25.37 - $32.77
0% of jobs
$32.77 - $40.18
1% of jobs
$40.18 - $47.58
3% of jobs
$47.58 - $54.98
9% of jobs
$59.49 is the 25th percentile. Wages below this are outliers.
$54.98 - $62.39
17% of jobs
The median wage is $68.56 / hr.
$62.39 - $69.79
22% of jobs
$75.79 is the 75th percentile. Wages above this are outliers.
$69.79 - $77.19
26% of jobs
$77.19 - $84.60
14% of jobs
$84.60 - $92
6% of jobs
$10
$68
$92
How much do data architect jobs pay per hour?
What do you do as a data architect?
What are the key skills and qualifications needed to thrive as a data architect, and why are they important?
What is the difference between Data Architect vs Data Engineer?
| Aspect | Data Architect | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data Analytics | Bachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics |
| Work Environment | Designs data systems, collaborates with stakeholders, plans data infrastructure | Builds, maintains, and optimizes data pipelines and databases |
| Employer & Industry Usage | Used across industries for data strategy and architecture planning | Commonly employed in data-driven companies for data processing and pipeline development |
While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.
Is a data architect in demand?
How much does a data architect get paid?
How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?
What is a data architect?
A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.
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For Data Architect jobs in Decatur, GA, the most frequently searched job titles are:
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The top searched job categories for Data Architect jobs in Decatur, GA are:
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Cities near Decatur, GA with the most Data Architect job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 6 days ago
Job description
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".
About Brown & Brown, PC
Sourced by ZipRecruiter
Industry
Law firms
Company size
11 - 50 Employees
Headquarters location
Bedford, MA, US
Year founded
1925