Platform Enablement Engineer

ICF • Reston, VA

5d • Remote

About The Position

ICF’s Digital Modernization Division is an information technology and management consulting organization that delivers integrated strategic solutions to federal clients. The division brings expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs. This role supports modernization of a large federal agency’s enterprise data and analytics ecosystem, a cloud-based platform offering data storage, analytics, governance, and AI/ML capabilities to thousands of users.

The Platform Enablement Engineer helps customer teams adopt the cloud data platform by providing hands-on support for workspaces, access, governed data use, analytics workflows, and AI/ML capabilities. The role troubleshoots technical issues, demonstrates platform capabilities, supports onboarding and training, and coordinates with Platform, Data, Governance, AI/ML, and Security teams to resolve customer barriers. This role is contingent upon a contract award; interviews and offers are being conducted in anticipation of the award, but it is not an immediate opening.

The position is remote, with a strong preference for candidates in the Washington, DC metro area. Occasional onsite meetings at the client site in Washington, DC are expected. Employees’ work locations are monitored; access from foreign locations or foreign IP addresses is blocked, and personal VPN connections are prohibited. The candidate must reside in the U.S., be authorized to work in the U.S., perform all work in the U.S., and have lived in the U.S. for three full years out of the past five years. U.S. citizenship is required for federal contract requirements.

Requirements

• U.S. citizenship is required due to federal contract requirements.
• Must reside in the U.S., be authorized to work in the U.S., and perform all work in the U.S.
• Must have lived in the U.S. for three full years out of the last five years.
• Bachelor’s degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or a related field; alternatively, a high school diploma with four additional years of relevant experience may substitute for the bachelor’s degree.
• At least 3 years of relevant experience providing customer-facing technical support and troubleshooting.
• A master’s degree may substitute for two years of relevant experience.
• Highly effective analytical, problem-solving, and decision-making capabilities.
• Excellent written and verbal communication skills, including the ability to work effectively with technical and non-technical audiences.
• Strong organization, attention to detail, and ability to prioritize and manage multiple responsibilities.
• Collaborative approach with a commitment to quality, accountability, and continuous improvement.
• All candidates must be authorized to work in the United States; the position is not eligible for new H-1B visa sponsorship by ICF.

Nice To Haves

• Experience supporting cloud-based data and analytics platforms, including Azure and Databricks environments.
• Experience troubleshooting workspace configuration, user access, permissions, data access, and technical workflows.
• Experience supporting analytics, data engineering, and AI/ML use cases and helping users adopt platform capabilities.
• Experience delivering technical demonstrations, onboarding, training, and hands-on customer enablement.
• Familiarity with data governance, security, and access controls in enterprise cloud environments.
• Ability to troubleshoot across platform components and coordinate issues with Platform, Data, AI/ML, Governance, and Security teams.
• Experience supporting governed data use and working within data governance requirements.
• Experience onboarding users or teams to AI/ML workflows or capabilities.
• Experience coordinating escalations across Platform, Data, Governance, AI/ML, and Security stakeholders.
• Experience converting troubleshooting insights and customer feedback into reusable documentation or training materials.

Responsibilities

• Provide hands-on technical support for customer workspaces, tooling, access, and governed data use.
• Guide customer teams through analytics workflows and cloud/data platform capabilities.
• Support AI/ML onboarding and help customers transition from initial provisioning to productive platform use.
• Troubleshoot technical barriers involving tooling, access, data, analytics workflows, and platform adoption.
• Demonstrate platform capabilities to customer teams and explain how available tools support their workflows.
• Deliver training support to help customers build confidence and adopt platform capabilities effectively.
• Coordinate technical escalations with Platform, Data, Governance, AI/ML, and Security teams.
• Capture recurring issues, solutions, and reusable lessons to strengthen training and documentation.
• Support customer adoption by connecting technical problem-solving with practical use of cloud, data, analytics, and AI capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level