Senior Enterprise Architect

SAICEl Paso, TX

About The Position

SAIC is looking for a Senior Enterprise Architect to fulfill career goals and objectives while delivering mission excellence on programs of national importance with their large Enterprise Application Support Program. The selected candidate will provide overall support for architecting and building solutions for Mainframe Modernization, including Migration and Transformation of Legacy Applications to modern Infrastructure/Architecture, including the Cloud. The selected candidate will be a Trusted Technical Advisor to the SAIC Program Manager (PM) and the supported team, acting as a thought leader with expertise in technical areas, specializing in Enterprise Architecture with specialization in Open Database technologies, Cloud and associated platforms and tools.

Requirements

  • Specialization in Enterprise Architecture
  • Specialization in Open Database technologies
  • Expertise in Cloud and associated platforms and tools
  • Expertise in Mainframe Modernization, including Migration to Cloud
  • Advisory support on IT applications architecture with the latest technologies (e.g., Cloud, AI/ML, GenAI, LLM, etc.)
  • Experience defining, developing, and keeping current Agile/SDLC engineering and architecture artifacts and standards.
  • Experience with Agile/SDLC reviews, including change management.
  • Experience maintaining a library of PMO documents and building a repository of project templates.
  • Experience supporting portfolio, program, project-level business process analysis, mapping, improvements, reporting, market research, and internal outreach and communications.
  • Experience translating business processes into workflows and dashboards.
  • Experience designing and implementing effective database structures and models.
  • Experience developing, constructing, testing, and maintaining scalable data pipelines.
  • Experience implementing ETL (Extract, Transform, Load) processes.
  • Experience integrating data from different sources.
  • Experience developing data APIs and automation scripts.

Responsibilities

  • Serves as a trusted technical advisor to the Program Manager and the supported team.
  • Provide technical guidance and advice regarding IT systems in general.
  • Implement governance and control as well as standards across the portfolio.
  • Tracking, monitoring, and updating status on technology (e.g., cloud, AI/ML) services and architecture.
  • Supporting, updating, and reviewing IT technology roadmaps.
  • Participate with senior managers to establish strategic plans and objectives.
  • Acts as advisor to management and customers on advanced technical research studies and applications.
  • Provide Technical guidance and Expert advice in areas of Mainframe Modernization, including Migration to Cloud, etc.
  • Provide Advisory support on IT applications architecture with the latest technologies (e.g., Cloud, AI/ML, GenAI, LLM, etc.), validity, applicability, and relevance.
  • Engage in defining, developing, and keeping current Agile/SDLC engineering and architecture artifacts and standards.
  • Provide oversight of Agile/SDLC reviews, including change management to ensure compliance with standards and required guidance.
  • Maintain a library of PMO documents and build a repository of project templates for both technical and management to support the project managers.
  • Supporting portfolio, program, project-level business process analysis, mapping, improvements, reporting, market research, and internal outreach and communications.
  • Translate business processes into workflows and dashboards, where needed.
  • Design and implement effective database structures and models to store, retrieve, and analyze data.
  • Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.
  • Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.
  • Integrate data from different sources, ensuring consistency, reliability, and accuracy.
  • Develop data APIs and automation scripts to streamline data integration and workflows.
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