Platform Enablement Engineer

ICF • Reston, AL

1d • $61,232 - $104,094 • Remote

About The Position

ICF’s Digital Modernization Division delivers integrated strategic solutions to federal clients in areas including cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation. The role supports modernization of a federal agency’s enterprise data and analytics ecosystem, a cloud-based platform offering data storage, analytics, governance, and AI/ML capabilities.

The Platform Enablement Engineer helps customer teams adopt and use the cloud data platform. The role provides hands-on support for workspaces, access, data and analytics workflows, and AI/ML capabilities; troubleshoots technical issues; demonstrates platform capabilities; and supports onboarding and training. The engineer coordinates with Platform, Data, Governance, AI/ML, and Security teams to resolve customer barriers and captures recurring issues and solutions to improve documentation and training.

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 required. The role is contingent upon a contract award; interviews and offers are being conducted in anticipation of that award. Work must be performed in the United States. ICF monitors employee work locations, blocks access from foreign locations and foreign IP addresses, and prohibits personal VPN connections.

Requirements

• U.S. citizenship is required due to federal contract requirements.
• Must reside in the United States, be authorized to work in the United States, and perform all work in the United States.
• Must have lived in the United States 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 plus four additional years of relevant experience may substitute for the bachelor’s degree.
• At least three 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 and the ability to work 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 turning 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 move 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.
• Provide 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 improve 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