Senior Data Platform Engineer at The Hartford responsible for developing scalable Big Data platforms in AWS environment. Leading technical initiatives and mentoring data engineers for effective platform performance.
Responsibilities
Administer and engineer Big Data platforms across multiple Hadoop clusters in the cloud (AWS EMR)
Design, implement and maintain highly scalable and resilient multi-tenant Data Platforms through Infrastructure as Code (IAC)
Ensure operational excellence
Apply Site Reliability Engineering (SRE) principles to design and implement robust tooling
Own and evolve the architecture of Platform, PaaS, and SaaS solutions
Participate in an on-call rotation providing hands-on technical expertise
Evaluate, implement, and manage emerging data technologies
Serve as a subject matter expert and technical lead for data platforms
Provide technical leadership and mentorship to junior and mid-level data engineers
Develop training materials and deliver end-user training sessions
Support documentation, metadata management, and visualization of data assets
Foster a culture of accountability and collaboration
Requirements
Bachelor's degree in computer science, Computer Engineering, or a closely related field (or foreign equivalent)
At least 7 years of progressive and diverse experience in IT, platform administration, database management, analytics or an equivalent combination of education and work experience
At least 3 years of hands-on engineering experience in developing platform solutions on AWS using Infrastructure as Code (CloudFormation, Terraform, Ansible) and CICD pipelines (Jenkins, Nexus, AWS Code Build, Code Deploy or Code Pipeline)
At least 3 years of experience providing architectural guidance and technical direction to developers, or platform administrators
Knowledge in data engineering, with exposure to designing and building data applications using database platforms
Strong analytical ability, problem analysis techniques, and broad knowledge of alternatives technology
Strong communication skills, and the ability to work effectively with business and IT resources.
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