Enterprise Architect

Mahavadi, Srikanth MD
Herndon, VA, United States
4 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Cloud Computing Databases Computer Engineering Data Centers HybridCloud Information Technology Data Management

Job description

· Serve as the primary architectural liaison for major technology initiatives and assessments underway. Serve as a Technical discovery & systems architect responsible for mapping, documenting, and baselining current-state enterprise IT architecture across on-premises data centers and hybrid-cloud environments. Work across DIT Teams to:

  • Perform Technical reviews of systems currently within the enterprise.

  • Produce authoritative current-state artifacts (system topologies, data flow diagrams, network dependency matrices, and service catalogs)

  • Map out and evaluate current enterprise storage platforms, capabilities, and gaps.

  • Map our current observability tools and architecture

  • Run archive and retention proofs-of-concept (POCs) to reduce cost and risk.

  • Comprehensive Current-State Enterprise Architecture Documents

Requirements

  • A strong communicator who can lead workshops and explain complex infrastructure and cloud topics to both technical teams and senior leaders.

  • A collaborator who enjoys working across infrastructure, cloud, database, desktop, security, and agency teams to get shared solutions.

Someone who can bring structure to large, complex systems and projects, and turn them into clear plans.

  • Strong interpersonal skills and proven ability to build consensus in a multi-stakeholder environment.

  • Comfort working in a fast-paced, shifting environment, learning quickly and adjusting plans as needed.

  • Experience working in government or public sector environments is preferred (but not required)

Educational Qualifications:

  • Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
  • Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

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