Data Governance Engineer, Senior
Booz Allen Hamilton
- Location
- Columbia, MD
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 9 approvals (FY2023)
- Posted
- Sep 14, 2026
Skills
About this role
Data Governance Engineer, Senior The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customer's environment and how to develop the right solutions for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution. As a Data Governance Engineer on our team, you have the chance to shape the evolution of mission data governance by leading modernization efforts for the client's enterprise data flow team. Your customer will t rus t you to provide Tier 1 operations support for customer data flow requests, specify data handling and usage requirements for new data flows, define, harden and test data schemas, determine met adata tagging to support data interoperability. You will coordinate with data flow service provider s and define processes, business rules, data standards, and functional requirements for mission systems that support effective data governance. You will work closely with customers and stakeholders across a variety of roles and teams to plan and implement dataflows supporting critical cyber missions. On our team, you'll be able to broaden your skill set into areas like cross-domain technologies and concepts, data handling and tagging, data schema development, and validation. You will integrate the use of AI tools to develop schemas and modernize data governance processes. Grow your skills by merging system engineering and mission data governance to create modernized processes and systems supporting enterprise data flow for a national security client. Join our team and create the future of mission data governance in national security. Join us. The world can’t wait. You Have: 7+ years of experience working on contracts for the federal government Experience with data flow, Apache NiFi, or mission systems Experience defining and applying data tagging and handling requirements Experience analyzing and defining data schemas and data processing requirements Experience defining requirements, architecture, or design elements for systems or sof tware that deal with data exchange, interfaces, or APIs Knowledge of data governance concepts such as data provenance, classification, sizing, retention, data sharing, and marking TS/SCI clearance with a polygraph Bachelor’s degree in an IT Engineering field and 7+ years of experience with systems engineering, or 12+ years of experience with systems engineering in lieu of a degree Nice If You Have: Experience with XKYS Experience developing capability level and functional requirements, mission scenarios, use cases, or business processes for automation Experience with scripting or coding in Python, JSON, XML, or JavaScript Knowledge of signals intelligence ( SIGINT ) or cyber data discovery and analysis met hods Knowledge of cross-domain technologies, concepts, or policies Knowledge of DoD agency policies and directives as they apply to IT SIGINT collection, dataflow, and information sharing with internal and external partners Knowledge of DoD or IC data formats and legal authorities for mission data Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are