Brown & Brown - Atlanta, GA

posted 3 months ago

Full-time - Senior
Atlanta, GA
Insurance Carriers and Related Activities

About the position

The Director of Enterprise Data Architecture at Brown & Brown will play a pivotal role in shaping the future of the company's data strategy. This position is responsible for leading the creation and operation of the Enterprise Data Architecture Program, which is essential for the growth of the organization both in North America and internationally. The director will define and evolve the overall strategy, architecture, and roadmap for the enterprise Modern Data Platform, ensuring that it aligns with the company's business objectives and technological advancements. In this role, the director will lead a matrixed team tasked with developing policies, standards, procedures, and patterns for data solutions across the organization. This includes evaluating new and existing data capabilities and technologies, as well as ensuring compliance with established data policies and standards. The director will also be responsible for mentoring Data Solution Architects and division Data Architects and Data Engineers, fostering a collaborative environment that encourages creativity and problem-solving. The ideal candidate will be a self-starter with a strong background in data architecture, cloud solutions, and a passion for learning new technologies. They will work closely with key stakeholders, including the Chief Data Officer and other teams, to implement the Enterprise Data Strategy and develop business cases for the Modern Data Platform roadmap deliverables. This position requires excellent communication skills, the ability to build strong relationships, and a commitment to delivering results in a rapidly evolving business environment.

Responsibilities

  • Develop and evolve the Modern Data Platform strategy, architecture, and roadmap.
  • Define and measure the data capabilities required to support the business, technology, and data strategies.
  • Partner with the CDO, Enterprise Data Enablement, and Enterprise Data Platform teams to develop and implement the Enterprise Data Strategy.
  • Lead the development of business cases for Modern Data Platform roadmap deliverables.
  • Develop and maintain policies, standards, procedures, and patterns for data solutions.
  • Continually evaluate new and existing data capabilities and technologies.
  • Define and execute processes required to ensure compliance with data policies, standards, procedures, and patterns.
  • Mentor and provide guidance to Data Solution Architects and division Data Architects and Data Engineers.
  • Work well with co-located and distributed team members and partners.
  • Demonstrate a high degree of creativity and problem-solving skills.

Requirements

  • Bachelor's degree in computer science or related field or equivalent work experience.
  • Experience defining architectural patterns, solutions, and controls for data pipelines, data integration, data transformation, analytics, reporting, and modeling (e.g., AI/ML).
  • Strong understanding of architecting and delivering solutions in a cloud environment.
  • Deep understanding of data modeling, data management, and data governance principles.
  • Passion for learning new technologies and enhancing existing skills.
  • Experience in end-to-end Software Development Life Cycle (SDLC) projects.
  • Experience working with key stakeholders and business leaders.
  • Excellent verbal and written communication skills.
  • Ability to build strong relationships and work collaboratively on teams.
  • Self-starter that works well and is able to be a leader in a matrixed team environment.
  • Ability to adapt and respond in a rapidly evolving business environment.
  • 8+ years of related work experience.

Nice-to-haves

  • Experience architecting cloud-based Modern Data Platforms.
  • Experience architecting data solutions in an Azure cloud environment.
  • Experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake and/or equivalent cloud data technologies and platforms.
  • Experience defining patterns and solutions leveraging Data as a Product, Data as a Service, Data Mesh, Data Virtualization, Delta Lake, Lakehouse and/or Data Fabric.
  • Familiarity with SQL, Java, and Python.
  • Experience working with Agile/Scrum methodologies.
  • Experience leading matrixed teams to architect and design platforms and solutions.
  • 12+ years of related work experience and 5+ years of progressive leadership experience.
  • Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate or equivalent certification(s).
  • Experience in the insurance industry and/or basic knowledge of insurance.
  • Experience architecting solutions covering multiple geographies.

Benefits

  • Excellent growth and advancement opportunities
  • Competitive pay based on experience
  • Discretionary Time Off
  • Generous benefits package: health, dental, vision, 401(k), etc.
  • Employee Stock Purchase Plan
  • Tuition Reimbursement and Student Loan Repayment Assistance
  • Mental Health Resources
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service