Solutions Engineer Data

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. Develop technology enabled recommendations to address gaps within a single business process. 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. 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. \* 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. Multiple Positions Available.