Brown & Brown Insurance
Data Platform Engineer
Brown & Brown Insurance, Plano, Texas, us, 75086
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 an independent insurance intermediary that through its licensed subsidiaries provides a variety of insurance and reinsurance products and services to corporate, public entity, institutional, trade, professional, association, and individual clients. Headquartered in Daytona Beach, Florida, offices are located across the United States, with products and services offered through four major business divisions. We are listed on the NYSE at BRO. Our drive to be the best has made Brown & Brown one of the largest and most respected independent insurance intermediaries in the nation, with over 75 years of continuous service. The Company is ranked as the sixth largest such organization in the United States and seventh in the World by Business Insurance magazine.Data Platform Engineer
is a member of the Enterprise Data Platform team reporting to the Head of Data Engineering. This experienced individual will develop, automate and manage 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. Partnering with the operations and delivery teams, they will ensure the availability, stability, performance and scalability of data capabilities and technologies.Responsibilities
Engineer, deliver and support automated, Azure cloud-based data capabilities and technologies in support of the Modern Data Platform (MDP) strategy and roadmap.Develop, deliver and support Infrastructure As Code templates for MDP capability deployments.Monitor, measure and report on the utilization, performance, and cost of MDP capabilities.Identify and implement enhancements to further automate and scale the MDP capabilities.Provide implementation, production and consulting support to delivery teams leveraging the MDP.Collaborate with the Enterprise Data Architecture and Enterprise Data Enablement teams on data solutions and roadmaps.Define and automate data platform controls in support of Software Development Lifecycle (SDLC) requirements.Mentor and provide guidance to Data Engineers with respect to MDP capabilities.Work well with co-located and distributed team members and partners.Demonstrate a high degree of creativity and problem-solving skills.Other duties as assigned.Required
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.Hands-on experience implementing and using cloud-based storage, data lake, analytics, visualization, SQL, container, dev ops and security services.Hands-on experience developing and supporting Infrastructure As Code templates.Hands-on experience working with Python, Java, SQL and JSON.Deep understanding of data management and data governance principles.Passion for learning new technologies and enhancing existing skills.Experience developing, implementing and supporting integrated frameworks across data capabilities and technologies.Experience implementing and using CI/CD pipelines and automation.Experience in end-to-end Software Development Life Cycle (SDLC) projects.Experience working with key stakeholders and technology peers.Excellent verbal and written communication skills.Self-starter with the ability to build strong relationships and work collaboratively.Ability to adapt and respond in a rapidly evolving business environment.5+ years of related work experience.Preferred
Experience in the insurance industry and/or basic knowledge of insurance.Experience engineering, implementing, and supporting solutions covering multiple geographies.Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate or equivalent certification(s).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.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.
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is a member of the Enterprise Data Platform team reporting to the Head of Data Engineering. This experienced individual will develop, automate and manage 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. Partnering with the operations and delivery teams, they will ensure the availability, stability, performance and scalability of data capabilities and technologies.Responsibilities
Engineer, deliver and support automated, Azure cloud-based data capabilities and technologies in support of the Modern Data Platform (MDP) strategy and roadmap.Develop, deliver and support Infrastructure As Code templates for MDP capability deployments.Monitor, measure and report on the utilization, performance, and cost of MDP capabilities.Identify and implement enhancements to further automate and scale the MDP capabilities.Provide implementation, production and consulting support to delivery teams leveraging the MDP.Collaborate with the Enterprise Data Architecture and Enterprise Data Enablement teams on data solutions and roadmaps.Define and automate data platform controls in support of Software Development Lifecycle (SDLC) requirements.Mentor and provide guidance to Data Engineers with respect to MDP capabilities.Work well with co-located and distributed team members and partners.Demonstrate a high degree of creativity and problem-solving skills.Other duties as assigned.Required
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.Hands-on experience implementing and using cloud-based storage, data lake, analytics, visualization, SQL, container, dev ops and security services.Hands-on experience developing and supporting Infrastructure As Code templates.Hands-on experience working with Python, Java, SQL and JSON.Deep understanding of data management and data governance principles.Passion for learning new technologies and enhancing existing skills.Experience developing, implementing and supporting integrated frameworks across data capabilities and technologies.Experience implementing and using CI/CD pipelines and automation.Experience in end-to-end Software Development Life Cycle (SDLC) projects.Experience working with key stakeholders and technology peers.Excellent verbal and written communication skills.Self-starter with the ability to build strong relationships and work collaboratively.Ability to adapt and respond in a rapidly evolving business environment.5+ years of related work experience.Preferred
Experience in the insurance industry and/or basic knowledge of insurance.Experience engineering, implementing, and supporting solutions covering multiple geographies.Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate or equivalent certification(s).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.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.
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