Chief Enterprise Architect (Business Intelligence)with TS Clearance
On-siteWashington, District of Columbia, United States or Washington, United States
Job Summary
Centralize data from all stores into a data warehouse and connect it to enterprise BI tools, applying technology to transform complicated data into useful information with clear visualizations. Design and develop automated dashboards, multiple views, and real-time reporting solutions that integrate predictive analytics for accurate data-driven intelligence. Support and maintain the entire BI backend, including data lakes, to produce machine learning and AI insights while leading ETL processes across diverse data sources to optimize data modeling and governance. Diagnose operational issues for warehouse components and manage the software lifecycle through automated testing, documentation, and change control. Articulate complex BI concepts to stakeholders including IT, project managers, and cybersecurity teams. This role requires a TS clearance and is located in Washington DC or Germantown MD.
Required Qualifications
- Active TS Clearance
- Bachelor's degree from an accredited university or college in Information Technology or similar degree (computer science, engineering, math, or related field)
- at least ten (10) years of experience as data architecture, BI developer, or BI manager
- extensive use of data components and information management systems (transactional data)
- Experience with centralizing data from all data stores into a data warehouse
- connect the warehouse into enterprise BI tools
- Applied technology to transform complicated data into useful information using BI software to collect, store, and analyze business intelligence data with visualizations to present data clearly and accurately
- Experience designing/develop solutions for dashboards
- creating automated dashboards
- developing multiple views and integrate them into dashboards using a combination of predictive analytics and real-time reporting for accurate data-driven intelligence
- supporting and maintaining entire business intelligence backend, including data warehouses and data lakes
- produce machine learning (ML) and artificial intelligence (AI) insights to support reporting and analysis outcomes
- leading use Extract, Load, Transform (ETL) processes across a variety of data sources
- design/develop solutions for aggregated facts using metadata
- creating processes to manage high volumes of data at one time
- optimize data modeling and database solutions to sustain data governance and data democracy
- Oral and written communication skills to regularly articulate complicated BI concepts
- collaborate with program stakeholders including IT and business program and project managers, data architects, scientists, analysts, business intelligence teams, cybersecurity analysts, and data quality management teams
- diagnosing and debugging operational issues for data warehouse and BI support components
- Team-based experience in software lifecycle management including supporting automated testing and documentation
- code versioning
- change and configuration management
- integrating capability and information to address data security/authentication and web accessibility requirements
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