Brown & Brown is seeking a Director, Enterprise Data Architecture to architect the foundation of their modern data ecosystem and lead high-impact data initiatives in a values-driven culture.
Requirements
- 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
- Hands-on experience with Azure Data Factory, Synapse Analytics, Azure Databricks, Snowflake
- Experience defining and implementing modern architectural patterns like Data Mesh, Data Virtualization, Lakehouse, Data Fabric, and Delta Lake
- Familiarity with SQL, Python, and Java
- Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent
Responsibilities
- 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.
Other
- 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
- 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
