> Markdown version of [/jobs/ext/4358092-data-governance-analyst-technical](https://www.wearedevelopers.com/jobs/ext/4358092-data-governance-analyst-technical). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Analyst - Technical - **Company:** BAE Systems - **Location:** Falls Church, VA, United States (Remote available) - **Experience:** Experienced - **Salary:** $97,008.0 - $164,914.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Database, Profiling, Data Cleansing, Data Governance, Data Profiling, Database Queries, Metadata, Meta-Data Management, Technical Data Management Systems, Enterprise Data Management, Information Technology, Collibra - **Published:** October 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c5d38bfa0832e79a ## About the Role * Education: Bachelor's degree in Computer Science, IT, or a related field. Or equivalent combination of education and experience * Experience: 4 years of experience in technical data management, data governance tooling, metadata management, or enterprise data platforms. * Skills: + Strong SQL skills and experience with data profiling tools. + Technical familiarity with Collibra (ingestion, attribute mapping, and technical metadata). + Hands-on experience with at least one major DQ tool (Attacama, Collibra, Anomalo). + Strong analytical and problem-solving skills with high attention to detail. Preferred Education, Experience, & Skills * API Integration experience. * Experience with cloud data environments (AWS/Azure). * Certification in a specific Data Quality tool. ## Description * Technical Collibra Management: Handle the technical administration and maintenance of the Collibra environment, including asset ingestion and metadata mapping. * Data Quality Execution: Perform deep-dive data profiling and analysis using tools such as Collibra, Attacama or Anomalo. * Rule Implementation: Technical execution of data quality rules and monitoring processes to identify and mitigate data issues. * Profiling & Reporting: Conduct regular data quality assessments and generate technical reports on metrics and trends for the Specialists. * Technical Documentation: Build and maintain technical asset diagrams and metadata lineages. * Incident Support: Provide technical support for data incident management, identifying the root cause of data quality failures.