Lead Data Engineer

Document ingestion is a top priority for Chubb and we are looking for an innovative, results-oriented Engineering Lead with requisite experience and ambition to drive the Ingestion program. The successful candidate must have experience with the planning and implementation of data, process and automation across insurance. They will be self-motivated, creative and able to independently lead this major strategic initiative.

As a Lead Data Engineer, you will be responsible for leading the architecture, design, development and launch of solution across the Domain and/or Platform. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product. 

The ideal candidate is clearly passionate about new opportunities and has a demonstrated track record of success in delivering new solutions and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale solutions. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.

The successful candidate will lead a team of Data Engineers and collaborate with business product owners to achieve business outcomes. She/he will engage with business executives, transformation leaders and bring to fruition business objectives for ingestion. 

Requirements

• Leading ingestion solution, architecture and liaising with source system experts and business owners to develop scalable solutions.
• Own, create and maintain technical architecture documentation for solutions.
• Define development standards and tooling for the squads.
• Partner with business stakeholders to translate business requirements into consumable technical stories and software solutions. 
• Participate in solutioning and estimation activities for upcoming opportunities.
• Mentor a team of software developers to build quality software solutions aligned to architecture guidelines. 
• Deep dive on technical solutioning or troubleshooting with the Tech Leads and Squads as required.
• Serve as a technical lead for Domain and engage with Platform teams to improve pluggable and re-usable ingestion components. 
• Passionate to learn and craftmanship in designing and building high quality software solutions that can stand the test of time, stress, and variety of enhancement requests.
• Knowledge as a Full Stack Engineer & data Engineering architecture a plus
• Experience building mission critical platforms using Java/.Net, Python, Angular, and other Web Technologies
• Experience designing and developing software/automation solutions using Java (Spring MVC, Spring Boot, Selenium, .Net Core, microservices etc.), relational database (MySQL, SQL Server, PostgreSQL, etc.), web technologies (Angular, React, Nodejs, JS, HTML etc.).
• Experience working in an Agile development environment with experience/knowledge of DevOps, CI/CD (Jenkins, Jira, Terraform, Ansible, docker etc.)
• Experience in Data Engineering technologies like Informatica and Data Bricks
• Knowledge of data science and AI ML technology will be considered a plus
• Effectively research and benchmark Chubb technology against competing systems in the industry.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members.
• Exert technical influence over the core platform teams, increasing their productivity and effectiveness by sharing your knowledge and experience.
• Support the development of the analysis and design methodology including the related policies, procedures, tools and artifacts to ensure an “agile” implementation process that aligns with established release cycles and related enterprise standards
• Provide thought leadership on Ingestion and future opportunities in emerging technologies, tools, and suppliers (partners)

Knowledge/Skills/Abilities/Success Factors

• Education & Experience in business, data, engineering, mathematics or information management
• Insurance domain or financial services knowledge
• 10+ Years of a data science, technology or insurance domain experience or a combination of both
• 2+ years of leadership experience driving major cross-functional operational improvements in a highly matrixed organization
• Stro