Senior Staff Systems Data Architect

Northrop Grumman

. Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across the EMS Service Line.

Posted 5/8/2026full-timeRedondo Beach • Alabama, California, Illinois, Maryland, Utah • 🇺🇸 United StatesSenior💰 $184,100 - $289,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across the EMS Service Line.
Oversee the data models, aligning data models across engineering and manufacturing to support user needs and align with other service Lines and CIDO.
Collaborate with engineering and business leaders to align data initiatives with program goals as well as enterprise data governance team.
Develop and enable program data risks management process in concurrence with program risk management.
Maintain knowledge of current and emerging Industry and government trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable.
Display strong stakeholder management skills, including presenting solutions to senior leadership.
Drive company-wide data strategy and innovation, aligning technical goals with business objectives.
Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.
Manage data governance, data security, data modeling, and enterprise architecture frameworks.
Provide experience in understanding, managing, and integrating business or government program data across a variety of tool sets and data sources.
Data Architecture development with an understanding of data lakes, warehouses, and/or streaming platforms.
Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines.
Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure.
Support data integration strategy between pillar systems.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 14 years of experience; or Master's degree with 12 years of experience; or PhD with 10 years of experience
4+ years of experience in data infrastructure, DevOps, and data engineering, with 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 strong leadership.
Master’s degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field preferred.
An active U.S. Government Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years preferred.
Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer preferred.
MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows preferred.
Advanced technical knowledge of data science and data architecture preferred.
Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence preferred.
Recognized experience as a thought leader and innovator in the development of new tools, methodologies and problem-solving approaches preferred.
Demonstrated experience with integration platforms such as MuleSoft, SAP Process Integration (PI), or equivalent middleware solutions for designing and orchestrating enterprise data flows preferred.
Proven understanding of data models used by engineering and manufacturing systems preferred.
Understanding data governance frameworks best practices preferred.

Benefits

Comp & perks

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business
Exceptional benefits/healthcare
9/80 work schedule
401k matching program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data strategydata governancedata modelingdata architecturedata integrationCI/CDdata lakesdata warehousescloud computingdata analytics

Soft Skills

stakeholder managementleadershipcollaborationstrategic visionproject managementcommunicationinfluenceinnovationproblem-solvingteam management

Certifications

AWS Certified Solutions Architect (Professional)AWS Certified Data Analytics SpecialtyAzure Data Engineer AssociateGoogle Professional Data Engineer