Enterprise Architect

Akamai Intelligence LLC
  • Germantown, MD
  • Full-time
14 days ago

Job Description

Enterprise Architect (Business Intelligence) Location: Germantown, Maryland (Onsite) Clearance Required: Department of Energy "Q" Clearance or Top Secret (or equivalent) Employment Type: Full-Time, Key Personnel Position Summary Akamai Intelligence is seeking a Chief Enterprise Architect to lead business intelligence and data architecture strategy in direct support of a federal client's mission systems. This role owns the design and governance of the organization's central data warehouse and enterprise BI platform, translating complex business requirements into scalable, secure data solutions. The successful candidate will work onsite in Germantown, Maryland, and must be able to obtain and maintain a DOE "Q" clearance or equivalent Top Secret clearance. Key Responsibilities ? Determine platforms, processes, and procedures for a centralized data warehouse based on evolving business and technical requirements. ? Lead integration of data security, authentication, and web accessibility standards across all BI and data architecture initiatives. ? Centralize data from disparate stores into a unified warehouse and connect it to enterprise BI tooling. ? Design and develop dashboards and automated reporting views, combining predictive analytics with real-time reporting for data-driven decision-making. ? Support and maintain the organization's BI backend, including data warehouses and data lakes, to enable machine learning and AI-driven insights. ? Lead Extract, Load, Transform (ELT/ETL) processes across varied data sources, including metadata management and data modeling. ? Optimize database and data modeling practices to sustain data governance and broad data accessibility ("data democracy"). ? Diagnose and resolve operational issues across the data warehouse and BI support environment. ? Partner with IT and program leadership, data architects, data scientists, analysts, business intelligence teams, cybersecurity analysts, and data quality management teams to align technical solutions with mission needs. ? Contribute to team-based software lifecycle management, including automated testing, documentation, code versioning, and change/configuration management.

Numbers & Facts

LocationGermantown, MD
Job TypeFull-time

Skills

  • Artificial Intelligence (AI)unmatched
  • Authenticationunmatched
  • Business Intelligenceunmatched
  • Business Intelligence Softwareunmatched
  • Configuration Managementunmatched
  • DOE Clearanceunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Database Optimizationunmatched
  • Documentationunmatched
  • Enterprise Architectureunmatched
  • Government Organizationsunmatched
  • Identify Issuesunmatched
  • Information/Data Security (InfoSec)unmatched
  • Internet Securityunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Management Strategyunmatched
  • Metadataunmatched
  • Predictive Modelingunmatched
  • Problem Solving Skillsunmatched
  • Quality Managementunmatched
  • Reporting Dashboardsunmatched
  • Software Development Lifecycle (SDLC)unmatched
  • Test Automationunmatched
  • Top Secret Clearanceunmatched
  • United States Department of Energy (DOE)unmatched
  • Warehousingunmatched
  • Web Accessibilityunmatched

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