Data Warehouse Subject Matter Expert (SME)
At a glance
Mid-level Data Engineering role at Nationwide IT Services. Arlington · full-time · no salary stated · we estimate $116,100–$152,875.
Nationwide IT Services has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Shape and tune enterprise warehouse architecture, including SQL Server platforms holding multi-terabyte data and billion-row datasets
- Build and refine fact and dimension structures using Kimball-style modeling and dimensional analysis
- Develop ETL/ELT pipelines, reports, analytical models, and dashboards with Microsoft data tools and modern technologies
- Work with Agile teams through iterative development, testing, deployment, and ongoing warehouse improvements
- Investigate data needs and complex platform issues, then recommend changes to architecture, processes, or tools
What you bring
- At least fifteen years in database work, including twelve or more years with SQL Server
- Hands-on work with SQL Server databases containing at least five terabytes and one billion rows
- Five or more years using Agile development methods
- At least three years with dimensional analysis in a Kimball-style warehouse of five hundred or more tables and one billion rows
- Three or more years using Microsoft data tools and modern technologies such as Python, R, and cloud services
Who this fits
This role suits a senior technical specialist who leads warehouse design and optimization while collaborating with Agile teams. A Secret clearance is required, and the work is fully on-site at DEA offices in Merrifield, Arlington, or other government-designated locations.
From the employer
Data Warehouse Subject Matter Expert (SME)
100% on-site
Secret Clearance required.
Position Summary
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.
Key Responsibilities
- 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.
Minimum Qualifications
- 15+ years of total database experience.
- 12+ years of SQL Server experience within the overall 15 years of database experience.
- Experience working with 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 in a Kimball-style Enterprise Data Warehouse with 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.
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.
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