Data Warehouse Subject Matter Expert (SME)

Data Warehouse Subject Matter Expert (SME)

Secret Clearance required.

The Data Warehouse Subject Matter Expert (SME) provides senior-level technical leadership in the design, development, optimization, and support of enterprise data warehouse environments. This role serves as the primary expert for large-scale SQL Server data warehouse platforms, dimensional modeling, reporting and analytics solutions, and modern data management tools. The SME supports enterprise data initiatives by applying best practices in database architecture, ETL/ELT processes, analytics, and Agile delivery to ensure scalable, high-performing, and reliable data solutions.

About Nationwide IT Services

Why Join Nationwide IT Services?

Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment.

Responsibilities

100% on-site

• Serve as the SME for enterprise data warehouse architecture, design, implementation, and performance optimization.
• Provide deep technical expertise in large-scale SQL Server database environments, including systems with multi-terabyte data volumes and billion-row datasets.
• Design, support, and optimize enterprise data warehouse solutions using Kimball-style dimensional modeling and dimensional analysis methodologies.
• Lead and support the development of fact and dimension structures within complex enterprise data warehouse environments consisting of large table counts and high-volume data.
• Develop, maintain, and enhance ETL/ELT pipelines, reporting solutions, analytical models, and dashboard capabilities using Microsoft data tools and modern data management technologies.
• Utilize tools such as SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), Power BI, and ADO to deliver data integration, reporting, and analytics solutions.
• Apply modern tools and technologies, including Python, R, and cloud services, to improve data processing, analytics, and data platform capabilities.
• Collaborate with cross-functional teams in Agile environments to support iterative development, testing, deployment, and continuous improvement of data warehouse solutions.
• Analyze data requirements, troubleshoot complex database and warehouse issues, and recommend improvements to architecture, processes, and tools.
• Ensure that enterprise data warehouse solutions are scalable, maintainable, and aligned with mission and business objectives.
• Kimball-style Enterprise Data Warehouse
• with

Requirements

• 15+ years of total database experience.
• 12+ years of SQL Server experience within the overall 15 years of database experience.
• SQL Server databases of at least 5 TB and a billion total rows of data
• 5+ years of experience
• working with
• Agile development methodologies
• 3+ years of experience
• with Microsoft tools such as
• SSIS, SSRS, SSAS, Power BI, and ADO, as well as modern data management tools and technologies such as
• Python, R, and cloud services
• 3+ years of experience
• performing

dimensional analysis

• not less than 500 total tables and a billion rows of data
• Secret Clearance required.

Work Location

Work will be performed at

DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government