Northrop Grumman
global security
Sr.StaffSystemsDataArchitect
“Sr. Staff Systems Data Architect at Northrop Grumman. Skills: Systems Data Architect, data strategy, data governance, enterprise architecture, cloud platforms, data integration, AI, machine learning. Develop and execute a comprehensive data strategy. Oversee the data models”
What You'll Achieve.
successful project delivery; enable strategic objectives
Industry & Context.
problem-solving approaches
RELOCATION ASSISTANCE: No relocation assistance available, CLEARANCE REQUIRED FOR START: No, CLEARANCE TYPE: Secret, TRAVEL: Yes, 10% of the Time, U. S. Citizenship is required for all positions with a government clearance and certain other restricted positions
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 14 years of or Master's degree with 12 years of or PhD with 10 years of experience, 4+ years of experience in data infrastructure, DevOps, and data engineering, 2+ years in a leadership or senior technical role, 3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms, 3 years of demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and leadership
Nice to Have
Master’s degree or Ph. D. in data engineering, data science, computer science, cloud computing, or a related field, An active U. S. Government Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years, MLOps Expertise, Observability Tools, Data Versioning, Containerization for deploying data engineering workflows, Advanced technical knowledge of data science and data architecture, Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization, good command of emerging methodologies like Artificial Intelligence, Recognized experience as a thought leader and innovator in the development of new tools, methodologies and problem-solving approaches, Demonstrated experience with integration platforms such as MuleSoft, SAP Process Integration (PI), or equivalent middleware solutions (e. g. , eQube) for designing and orchestrating enterprise data flows, Proven understanding of data models used by engineering and manufacturing systems, including but not limited to SAP PEO, ITOT, Solumina, TeamCenter, Cameo, and IBM DOORS, Understanding data governance frameworks best practices (example: DAMA DMBOK), Proven expertise in artificial intelligence, demonstrated by hands‑on experience designing, building, and deploying machine‑learning models and AI solutions in production environments
What You'll Do.
Develop and execute a comprehensive data strategy
Oversee the data models
Collaborate with engineering and business leaders
Develop and enable program data risks management process
Maintain knowledge of current and emerging Industry and government trends and technologies in data frameworks
management and analytics
Manage data governance
and enterprise architecture frameworks
Provide experience in understanding
and integrating business or government program data across a variety of tool sets and data sources
Data Architecture development
Support data integration strategy between pillar systems
How You'll Work.
Team & Collaboration
Collaborating in cross functional Integrated Product Teams (IPTs); Collaborate with engineering and business leaders; Align with enterprise data governance team; Presenting solutions to senior leadership; Influence and gain buy-in from key stakeholders; managing multidisciplinary teams
Communication Scope
presenting solutions to senior leadership
Process & Methodology
leading large-scale projects from conception to deployment, driving success through strategic vision and leadership
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