Full Job Description
Microsoft Platform Technical Specialist
Everforth ECS is seeking a Microsoft Platform Technical Specialist to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing data solutions that empower our Federal customers. In this role, you will be supporting a cross-functional team (composed of data scientists, database admins, data engineers, SharePoint SMEs, developers, and functional staff) to operationalize and modernize a critical system within our Department of Homeland Security (DHS) Office of the Chief Information Officer (OCIO) customer. The project being supported is extremely high priority and has a lot of visibility from senior Federal leadership.
The ideal candidate for this role will have software engineering experience, familiarity with platform infrastructure and be a critical thinker with a systems-oriented mindset. This position requires self-motivation detail-oriented skillsets capable of juggling multiple high priority responsibilities, while remaining passionate about collaborating with various stakeholders.
Job responsibilities include:
37Microsoft platform architecture and governance37Supporting the end-to-end lifecycle of a modernization IT project from planning/ideation through to deployment/implementation 37Facilitating weekly working group meetings with senior Federal staff to align on project progress across various stakeholders 37Developing and managing strong relationships with federal stakeholders to ensure continued progress on identified initiatives 37Resolving blockers and aligning cross-functional teams around project goals and technical requirements 37Maintaining a modernization roadmap 37Identifying, developing, and managing project schedules, resources, risks, priorities, and activities
Salary Range: $100,000 - $120,000
General Description of Benefits
37Must be a US Citizen.37Must be able to obtain a Public Trust.37A Masters degree in Business Analytics.37Software engineering experience375+ years of related experience in software engineering 37Sytems-oriented and infrastructure mindset37Experience in data science, data analytics, and data management 37Proficiency in various project management methodologies (Agile, Scrum, Waterfall, etc.) 37Understanding of the SDLC