Demo

Enterprise Architect (Business Intelligence)

Allegheny Science & Technology
Allegheny Science & Technology Salary
Germantown, MD Full Time
POSTED ON 2/2/2025
AVAILABLE BEFORE 5/2/2025

Job Description

Job Description

Allegheny Science & Technology (AST) is seeking a highly skilled and experienced Enterprise Architect (Business Intelligence) to support the Department of Energy Office of Environment, Health, Safety, and Security (EHSS) in Washington D.C.

EHSS is the DOE's central organization responsible for health, safety, environment; providing corporate-level leadership and strategic vision to coordinate and integrate these vital programs. EHSS is responsible for policy development and technical assistance; safety analysis, and corporate safety and security program.

This is a hybrid position that will require some onsite attendance in Germantown, Maryland and Washington D.C.

Required Qualifications :

  • Bachelor's degree from an accredited university or college in Information Technology or similar degree (computer science, engineering, math, or related field).
  • Minimum of ten (10) years of experience as a data architect, BI Developer, or BI Manager with extensive use of data components and information management systems (transactional data) to determine platforms, processes, and procedures for central data warehouse based on business requirements and technical specifications.
  • Experience integrating capability and information to address data security / authentication and web accessibility requirements.
  • Experience with centralizing data from all data stores into a data warehouse and connect the warehouse into enterprise BI tools.
  • Experience with 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.
  • Experience supporting and maintaining entire business intelligence backend, including data warehouses and data lakes to produce machine learning (ML) and artificial intelligence (AI) insights to support reporting and analysis outcomes.
  • Experience leading use Extract, Load, Transform (ETL) processes across a variety of data sources to design / develop solutions for aggregated facts using metadata, creating processes to manage high volumes of data at one time, and optimize data modeling and database solutions to sustain data governance and data democracy.
  • Oral and written communication skills to regularly articulate complicated BI concepts and to 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.
  • Experience 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, and change and configuration management.

Other Qualifications :

  • US Citizenship is required.
  • Active DOE "Q", Top Secret, or equivalent clearance or have held a DOE "Q", Top Secret, or equivalent clearance which was terminated without prejudice within six (6) months.
  • Multiple factors contribute to determining the final pay for a position. These include, but are not limited to, relevant work experience, skills, certifications, and competencies that align with the specific role, geographic location, educational background, and contract provisions related to labor categories specific to the position. We are committed to offering a competitive compensation package that reflects the value and expertise that each candidate brings to our team.

    The pay range for this position based on full-time employment is $175,000 - $200,000.

    Salary : $175,000 - $200,000

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