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 Director Enterprise Data Architecture to join our growing team in Daytona Beach, FL, Dallas, TX and Atlanta, GA! The Director Enterprise Data Architecture is a highly skilled and experienced leader that will play a pivotal role in architecting the foundation of our modern data ecosystem. This is a highly visible, hands-on leadership role - ideal for someone who's as comfortable defining enterprise-wide patterns and governance as they are collaborating with executive stakeholders and mentoring technical teams. How You Will Contribute : Architect the Future: Evolve the Modern Data Platform strategy, architecture, and roadmap across cloud environments, data domains, and business lines. Drive Enterprise Alignment: Partner with the Chief Data Officer, Data Platform, and Data & AI Enablement teams to drive adoption of our Enterprise Data Strategy. Enable Governance & Innovation: Establish and maintain policies, standards, and solution patterns that balance agility with compliance and scale. Mentor and Inspire: Provide hands-on leadership to Data Solution Engineers, division architects, and engineering teams, ensuring alignment with enterprise goals. Evaluate and Evolve: Continuously assess the data tech landscape and evolve our architecture to stay ahead of business needs and innovation curves. Champion Value Realization: Drive the development of business cases and influence investment decisions for roadmap priorities. Skills & Experience to b e Successful: Bachelor's degree in computer science or a related field (or equivalent work experience) 8+ years of experience in data architecture and engineering, including enterprise-level strategy and implementation 12+ years of relevant experience, with 5+ years in progressive leadership roles (preferred) Hands-on experience with Azure Data Factory, Synapse Analytics, Azure Databricks, Snowflake (preferred) Experience defining and implementing modern architectural patterns like Data Mesh, Data Virtualization, Lakehouse, Data Fabric, and Delta Lake Familiarity with SQL, Python, and Java (preferred) Agile/Scrum delivery experience (preferred) Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent (preferred) Industry experience in insurance, financial services, or highly regulated environments (preferred) Experience building globally distributed data solutions (preferred) Demonstrated experience designing patterns, solutions and controls for data pipelines, integration, curation, analytics, and AI/ML Proven success architecting and delivering in cloud-first environments, especially Azure or similar platforms Strong knowledge of data modeling, metadata management, data governance, and compliance frameworks Executive-level communication skills with the ability to drive alignment across technical and business stakeholders Demonstrated leadership in matrixed teams and distributed environments Passion for mentoring, learning, and leading by example #IH 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. 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". Employment Type: Full Time