Sentinel - Staff Systems Data Architect - 15907 jobs in United States
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Northrop Grumman Australia · 5 months ago

Sentinel - Staff Systems Data Architect - 15907

Northrop Grumman is a leading company in technological advancements, seeking a highly motivated Staff System Data Architect. The role involves developing and executing a comprehensive data strategy, overseeing data infrastructure, collaborating with leaders, and mentoring a high-performing data team to align data initiatives with program goals.

Defense & Space
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design for initial development through sustainment
Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving
Collaborate with engineering and business leaders to align data initiatives with program goals
Develop and enable program data risks management process in concurrence with program risk management
Maintain knowledge of current and emerging Industry and DoD trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable
Mentor and build a high-performing data team, fostering a culture of technical excellence and innovation
Serve as a thought leader, representing the company at industry forums, conferences, and with government and commercial partners
Display strong stakeholder management skills, including presenting solutions to senior leadership
Leading organizational change and ensuring successful adoption of new technologies and best practices
Mentor junior engineers and fostering a culture of continuous improvement
Build and lead high-performing teams, including recruitment, performance management, and professional development
Ability to strategically allocate resources and manage budgets to optimize team performance and deliver value-driven results
Design and implement DevOps frameworks for data teams, improving operational efficiency and reducing time-to-insight
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 DoD Program data across a variety of tool sets and data sources
Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms
Data Engineering experience with Architecture frameworks such as FACE, GCIA, EAF, FAF,OCSF
Data Engineering experience with modeling languages such as AADL, SysML, and UML and tooling modeling environments, processes, and tools such as ACVIP, CAMEO, Rational, OSATE, CAMET, and CVIT
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

Qualification

Data ArchitectureData EngineeringCloud ExpertiseDevOps frameworksData GovernanceData SecurityData ModelingContinuous IntegrationStakeholder ManagementStrategic VisionMentoringTeam Leadership

Required

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 12 years of experience; or Master's degree with 10 years of experience; or PhD with 8 years of experience
Must be a US Citizen with an active U.S. Government DoD Secret security clearance at time of application with an investigation completed within the last 6 years
Must have the ability to obtain Special Access Program (SAP)
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
Travel up to 25%

Preferred

Master's degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field
Active TS/SCI or TS with SCI eligibility at time of application
Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer
MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows
Expertise in cloud security best practices, including IAM, encryption, and compliance with frameworks like NIST or FedRAMP
Knowledge of advanced networking concepts such as VPC peering, VPNs, and load balancing for data-heavy applications

Benefits

Medical, Dental & Vision coverage
401k
Educational Assistance
Life Insurance
Employee Assistance Programs & Work/Life Solutions
Paid Time Off
Health & Wellness Resources
Employee Discounts

Company

Northrop Grumman Australia

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Northrop Grumman Australia is the Australia-based arm of Northrop Grumman Corporation and committed to generating long-term prosperity, investing in advanced Research & Development, sovereign and exportable Intellectual Property, high-quality jobs and long-term technology leadership across the Commonwealth.

Funding

Current Stage
Late Stage
Company data provided by crunchbase