Solutions Engineer, Data

Liberty Mutual Insurance is seeking a Solutions Engineer specializing in Data. The role involves designing and developing complex data solutions to enhance business processes and improve data accessibility and quality.

Responsibilities:

• Consult on designing and developing programs and tools to support ingestion, curation, and provisioning of highly complex enterprise data to achieve analytics, reporting, and data science
• Involved in and contribute to development and enhancement of solutions for gaps
• Responsible for designing and building highly complex data models and data architecture that improve accessibility, efficiency, governance, and data quality that directly impact business results
• Understand and develop business process improvements that address the most complex technology gaps within a single business process
• Develop technology enabled recommendations to address gaps within a single business process
• Document existing processes, organizational structures, architectures, and external systems
• Consult on the appropriate tools to prepare deliverables
• Participate in the development of tools and methodologies and adapt them to the organization environment
• Manage peer to peer relationships, with colleagues, vendors and external contractors, including offshore functions
• Assist with development and execution of cutover plans for simple processes
• Assist in post-implementation support, resolving issues and raising defects to appropriate level
• Execute transition plan for area of responsibility to the appropriate resource for each phase of the project or initiative
• Transition the knowledge sharing and transfers ownership to other resources or teams for key deliverables and business processes
• Domestic travel required up to 10%
• Telecommuting permitted up to 100%

Requirements:

• Bachelor's degree in Computer Science, Engineering [any] or related field
• Five (5) years of experience in the job offered or in a Solutions Engineer, Data-related occupation
• Design and implement data solutions of high complexity including data solutions for applications with a Mean Time To Recovery of 4 hours or less
• Work closely with application team to ensure data needs meet business needs and align with architecture standards for support and security
• Create applications with a high degree of observability utilizing Observability tools including Datadog
• Guide senior level engineers on design practices and work closely with architects to influence strategic decisions
• Drive the identification of key enablers and maintain a 12-month roadmap for aligned software products to meet business needs
• Proficiency with Relational Databases and NoSQL databases including Oracle
• Proficiency with cloud-based providers and containerized solutions including AWS