New

Data Administrator/Database Administrator

Spectraforce Technologies
United States, Tennessee, Nashville
Oct 21, 2026
Data Administrator/Database Administrator Work Schedule: Monday-Friday, 8:00 AM-4:30 PM CST Duration: 7 months Location: 665 Mainstream Dr, Nashville, TN 37243 Work Model: In-person, with potential for hybrid work after training Key Responsibilities 1. Field Identification, Mapping & Documentation Identify, validate, and document all existing fields in the LARS legacy system. Analyze field relationships, dependencies, and usage across extracts, correspondence, certificates, and API data feeds. Update data mapping documentation when inconsistencies or gaps are identified. Maintain a centralized data dictionary for agency-wide reference. 2. Data Integrity & Quality Review Perform recurring SQL-driven data profiling, validation checks, and trend analyses. Identify data anomalies and quality concerns, document findings, and escalate issues as needed. Track recurring issues and systemic data risks, and recommend improvements or governance standards. Collaborate with business units to validate data usage and improve data entry practices. 3. Ticket & Reporting Support Respond to help desk and ServiceNow ticket requests within established timelines. Write and execute SQL queries to deliver accurate reporting outputs. Ensure all requested data is validated and results are clearly documented. Store completed reports and SQL scripts in the designated repository. 4. Modernization Project Support Participate in vendor meetings and represent legacy system data requirements. Review vendor mapping documents and validate the accuracy of source-to-target field mappings. Support data migration cycles through profiling, validation, issue resolution, and testing. Contribute to new system architecture, dashboards, reports, and long-term data governance frameworks. Required Skills & Qualifications Advanced SQL skills for querying, data profiling, and data integrity validation. Strong Microsoft Excel skills, including lookups, pivot tables, and data modeling. Experience with data mapping and documentation. Strong analytical and problem-solving skills. Ability to manage timelines, deliverables, and multiple workstreams. Effective communication skills with both technical and non-technical stakeholders.