Solutions Engineer, Data - Liberty Mutual Insurance

• 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%.

Employer will accept a Bachelor’s degree in Computer Science, Engineering [any] or related field and five (5) years of experience in the job offered or in a Solutions Engineer, Data-related occupation. Position requires demonstrable experience in the following:

• 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.
• Experience may be gained during graduate program.
• Will accept any suitable combination of education, training, and/or experience.