Solutions Engineer, Data

Liberty MutualHoffman Estates, IL
Hybrid

About The Position

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.

Requirements

  • 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.
  • Demonstrable experience in designing and implementing 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.

Responsibilities

  • 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.
  • 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.
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