Business Intelligence Data Architect; Hybrid
Listed on 2026-03-01
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IT/Tech
Data Engineer, Data Analyst
Program Description
The Enterprise Solutions group (BES) is part of the Enterprise IT directorate, overseeing the strategic vision and implementation plan of IT systems and solutions that support Frederick National Laboratory for Cancer Research (FNL) operational and scientific organizations. The BES scope includes development, integration and optimization of the enterprise business systems used by the FNL operator, Leidos Biomedical Research, as well as logical and automation solutions for the scientific community.
This is a hybrid position in Frederick, MD requiring on‑site work minimum 5 days per pay period (every 2 weeks).
Location:
PO Box B, Frederick, MD 21702 USA.
Employee Type: exempt full-time.
Division:
Enterprise Information Technology.
- Deltek Costpoint Data & Reporting Architecture:
Serve as a subject matter expert for Deltek Costpoint data architecture, deeply understanding Admin, System, Transactional, Time & Expense, and Project schemas, and translating them into optimized analytical models. - Enterprise Data Modeling Leadership:
Lead the design and governance of enterprise‑grade data models (conceptual, logical, and physical), including dimensional and relational models, to support Costpoint analytics, financial reporting, and executive BI. - Enterprise BI Modernization:
Lead the conversion of legacy databases, converting Oracle Stored Procedures to reduced and OOTB transformation model. - Performance & Scalability Engineering:
Drive performance optimization across data models, SQL logic, and integration pipelines, ensuring solutions scale with business growth and reporting demand. - Advanced Data Integration Architecture:
Architect and implement complex, high‑volume data integration solutions using SSIS, Azure Data Factory, and cloud‑native patterns, integrating Deltek Costpoint with downstream analytics platforms. - Cloud Data Platform Design:
Design and evolve cloud‑based data architectures leveraging Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, and related services to support scalable, future‑state analytics. - Data Governance & Integrity:
Establish and enforce data quality, integrity, security, and lineage standards across all integration and modeling layers. - Technical Leadership & Standards:
Define and manage transformation project/tasks; provide technical guidance and mentorship to developers and analysts; define operational approach for ETL/ELT.
- Possession of Bachelor’s degree from an accredited college/university or four (4) years of relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency.
- A minimum of eight (8) years of experience in data integration, ETL, and data modeling roles.
- Demonstrated experience designing enterprise analytics platforms, not just developing pipelines.
- Proven ability to translate complex ERP data structures into clean, business‑friendly analytical models.
- Experience leading cloud migration or modernization initiatives for data platforms.
- Deltek Costpoint / ERP expertise; extensive experience working with Deltek Costpoint (or other ERP), with strong understanding of Accounting, Projects, People, and related financial/process data flows.
- Business Intelligence Integration expertise; familiarity integrating modeled data with Cognos and other enterprise BI platforms.
- Data Modeling, Expert Level: Proven expertise in enterprise data modeling, including star/snowflake schemas, financial and project accounting models, slowly changing dimensions, and fact table design.
- Database Platforms:
Advanced mastery of SQL Server and/or Oracle databases, including query optimization, indexing strategies, and large‑scale data transformations. - Strong communication skills with the ability to collaborate across IT, finance, and business stakeholders.
- Ability to work on‑site in Frederick, MD minimum five (5) days per pay period (every 2 weeks).
- Ability to obtain and maintain a security clearance.
- Azure Data Ecosystem:
Strong knowledge of Azure SQL DB, ADLS, Synapse Analytics, and modern cloud data architecture patterns. - Integration & ETL Architecture:
Deep, hands‑on expertise…
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