Director of Enterprise Data Platforms
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
It's an exciting time to join Brown & Brown! Our business is growing both in North America and internationally which emphasizes the need to build an unparalleled team that promotes future growth.
We're excited to continue solidifying that foundation as we are looking for a Director of Enterprise Data Platforms to join our growing team in Daytona Beach, Florida, Atlanta, GA or Dallas, Texas!The Director of Enterprise Data Platforms will lead the engineering, delivery and support of the Brown & Brown Modern Data Platform.
Reporting to the Chief Data Officer (CDO), this experienced individual will lead a team of Data Platform Engineers in the development, automation and management of cloud-based data capabilities and technologies in support of both the overall data strategy, architecture, and roadmap and the delivery of divisional, corporate and enterprise data assets and insights.
Who We Are:
Brown & Brown, Inc.
is a growing global insurance brokerage firm delivering risk management solutions and services since 1939.
Our unique culture is built on honestly, integrity, innovation and discipline and defines who we are and how we treat our customers, teammates and the communities we serve.
We think of ourselves as a team, so we have teammatesnot employees.
We prioritize health, family, and businessin that order.
We embrace and celebrate diversity, always striving to be an inclusive place where you have the power to be yourself.
Traded on the New York Stock Exchange as BRO, Brown & Brown is a big company that doesn't act like one.
Who We Are Looking For:
We are looking for passionate team players who believe in working hard and having fun in a collaborative environment.
Our team is customer-focused and values the importance of strong relationships, professionalism, and trust.
We embrace solutions-oriented big thinkers who are committed to results and aren't afraid to take risks.
We are driven to set goals high and aim even higher.
General
Responsibilities:
Lead the engineering, delivery, and support of automated, cloud-based data capabilities and technologies in support of the Modern Data Platform strategy and roadmap.
Monitor, measure and report on the utilization, performance and cost of Modern Data Platform capabilities.
Identify opportunities and implement enhancements to further automate and scale the Modern Data Platform capabilities.
Partner with the CDO, Enterprise Data Architecture and Enterprise Data Enablement teams to develop and implement the Enterprise Data Strategy.
Lead and mentor Data Platform Engineering team members.
Provide implementation, production and consulting support to delivery teams leveraging the Modern Data Platform.
Define and automate data platform controls in support of Software Development Lifecycle (SDLC) requirements.
Execute Proof of Concepts and Pilot implementations of new and emerging data technologies.
Forecast and budget data capability and technology expense and growth.
Required
Qualifications:
Bachelor's Degree in Computer Science or related field or equivalent work experience.
Experience implementing data capabilities and technologies supporting data pipelines, data integration, data transformation, analytics, reporting and modeling (e.
g.
AI/ML).
Strong understanding of engineering, implementing and supporting data platforms and solutions in a cloud environment.
Deep understanding of data management and data governance principles and constructs.
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.
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.
Preferred
Qualifications:
Experience engineering, implementing and supporting cloud-based Modern Data Platforms.
Experience engineering, implementing and supporting 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 with data platforms supporting 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 a team of platform engineers.
Experience creating and running 24X7 platform support models leveraging internal teammates and/or third-party services.
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 engineering, implementing and supporting solutions covering multiple geographies.
What we offer:
Excellent growth and advancement opportunities Competitive pay based on experience Discretionary Time Off (DTO) Generous benefits package:
health, dental, vision, 401(k), etc.
Employee Stock Purchase Plan Tuition Reimbursement and Student Loan Repayment Assistance Mental Health Resources We are an Equal Opportunity Employer.
We take pride in the diversity of our team and seek diversity in our applicants.
Recommended Skills Adaptability Artificial Intelligence Azure Data Factory Data Analysis Data Integration Data Management Estimated Salary: $20 to $28 per hour based on qualifications.
It's an exciting time to join Brown & Brown! Our business is growing both in North America and internationally which emphasizes the need to build an unparalleled team that promotes future growth.
We're excited to continue solidifying that foundation as we are looking for a Director of Enterprise Data Platforms to join our growing team in Daytona Beach, Florida, Atlanta, GA or Dallas, Texas!The Director of Enterprise Data Platforms will lead the engineering, delivery and support of the Brown & Brown Modern Data Platform.
Reporting to the Chief Data Officer (CDO), this experienced individual will lead a team of Data Platform Engineers in the development, automation and management of cloud-based data capabilities and technologies in support of both the overall data strategy, architecture, and roadmap and the delivery of divisional, corporate and enterprise data assets and insights.
Who We Are:
Brown & Brown, Inc.
is a growing global insurance brokerage firm delivering risk management solutions and services since 1939.
Our unique culture is built on honestly, integrity, innovation and discipline and defines who we are and how we treat our customers, teammates and the communities we serve.
We think of ourselves as a team, so we have teammatesnot employees.
We prioritize health, family, and businessin that order.
We embrace and celebrate diversity, always striving to be an inclusive place where you have the power to be yourself.
Traded on the New York Stock Exchange as BRO, Brown & Brown is a big company that doesn't act like one.
Who We Are Looking For:
We are looking for passionate team players who believe in working hard and having fun in a collaborative environment.
Our team is customer-focused and values the importance of strong relationships, professionalism, and trust.
We embrace solutions-oriented big thinkers who are committed to results and aren't afraid to take risks.
We are driven to set goals high and aim even higher.
General
Responsibilities:
Lead the engineering, delivery, and support of automated, cloud-based data capabilities and technologies in support of the Modern Data Platform strategy and roadmap.
Monitor, measure and report on the utilization, performance and cost of Modern Data Platform capabilities.
Identify opportunities and implement enhancements to further automate and scale the Modern Data Platform capabilities.
Partner with the CDO, Enterprise Data Architecture and Enterprise Data Enablement teams to develop and implement the Enterprise Data Strategy.
Lead and mentor Data Platform Engineering team members.
Provide implementation, production and consulting support to delivery teams leveraging the Modern Data Platform.
Define and automate data platform controls in support of Software Development Lifecycle (SDLC) requirements.
Execute Proof of Concepts and Pilot implementations of new and emerging data technologies.
Forecast and budget data capability and technology expense and growth.
Required
Qualifications:
Bachelor's Degree in Computer Science or related field or equivalent work experience.
Experience implementing data capabilities and technologies supporting data pipelines, data integration, data transformation, analytics, reporting and modeling (e.
g.
AI/ML).
Strong understanding of engineering, implementing and supporting data platforms and solutions in a cloud environment.
Deep understanding of data management and data governance principles and constructs.
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.
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.
Preferred
Qualifications:
Experience engineering, implementing and supporting cloud-based Modern Data Platforms.
Experience engineering, implementing and supporting 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 with data platforms supporting 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 a team of platform engineers.
Experience creating and running 24X7 platform support models leveraging internal teammates and/or third-party services.
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 engineering, implementing and supporting solutions covering multiple geographies.
What we offer:
Excellent growth and advancement opportunities Competitive pay based on experience Discretionary Time Off (DTO) Generous benefits package:
health, dental, vision, 401(k), etc.
Employee Stock Purchase Plan Tuition Reimbursement and Student Loan Repayment Assistance Mental Health Resources We are an Equal Opportunity Employer.
We take pride in the diversity of our team and seek diversity in our applicants.
Recommended Skills Adaptability Artificial Intelligence Azure Data Factory Data Analysis Data Integration Data Management Estimated Salary: $20 to $28 per hour based on qualifications.
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