
Platform Enablement Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in District of Columbia, +1 more state.
β’ Deliver hands-on technical assistance for customer workspaces, tooling, access, and governed data utilization.
β’ Assist customer teams in navigating analytics workflows and leveraging cloud/data platform features.
β’ Facilitate AI/ML onboarding and guide customers from initial setup to effective platform usage.
β’ Resolve technical challenges related to tooling, access, data, analytics workflows, and platform integration.
β’ Showcase platform functionalities directly to client teams.
β’ Provide training support to enhance customer adoption of platform features.
β’ Manage technical escalations with the Platform, Data, Governance, AI/ML, and Security teams.
β’ Document recurring issues, solutions, and valuable lessons to improve training and documentation.
β’ Assist customers in adopting cloud, data, analytics, and AI capabilities through practical application.
β’ U.S. Citizenship is mandatory due to federal contract stipulations.
β’ The candidate must reside in the U.S. and hold authorization to work in the U.S.
β’ All job responsibilities must be performed within the U.S.
β’ The candidate should have lived in the U.S. for three (3) full years out of the last five (5) years.
β’ A Bachelor's degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or a related field; or a high school diploma accompanied by four (4) additional years of relevant experience in lieu of a bachelor's degree.
β’ A minimum of 3 years of relevant experience in providing customer-facing technical support and troubleshooting.
β’ A Master's degree may substitute for two (2) years of relevant experience.
β’ Experience with cloud-based data and analytics platforms, including Azure and Databricks environments.
β’ Proficient in troubleshooting workspace configuration, user access, permissions, data accessibility, and technical workflows.
β’ Experience in supporting analytics, data engineering, and AI/ML use cases, along with assisting users in adopting platform features.
β’ Experience in delivering technical demonstrations, onboarding, training, and hands-on customer empowerment.
β’ Familiarity with data governance, security, and access controls within enterprise cloud environments.
β’ Skilled in troubleshooting across platform components and coordinating issues with Platform, Data, AI/ML, Governance, and Security teams.
β’ Strong analytical, problem-solving, and decision-making skills.
β’ Excellent written and verbal communication abilities tailored for both technical and non-technical audiences.
β’ Strong organizational skills, attention to detail, prioritization, and the ability to manage multiple responsibilities.
β’ Experience in supporting governed data use and adhering to data governance requirements.
β’ Experience onboarding users or teams to AI/ML workflows or features.
β’ Experience coordinating escalations among Platform, Data, Governance, AI/ML, and Security stakeholders.
β’ Ability to convert troubleshooting insights and customer feedback into reusable documentation or training materials.
β’ Must have the authorization to work in the United States; this position is not eligible for new H-1B visa sponsorship.
β’ Equal opportunity employer.
β’ Reasonable accommodations provided throughout the application and employment process.
β’ Benefits information is available through the Transparency in Coverage Act.
Sargent & Lundy
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