Apply on Employer Site

Northrop Grumman · 4 months ago

Sentinel - Staff Systems Data Architect - 15907 - R10202361

Manhattan Beach, CA

Full-time

Onsite

Senior Level, Lead/Staff

$171K/yr - $256K/yr

10+ years exp

Northrop Grumman is a leader in technological advancements and is seeking a highly motivated Staff Systems Data Architect. The role involves developing and executing a comprehensive data strategy, overseeing scalable data infrastructure, collaborating with engineering leaders, and mentoring a high-performing data team.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Technical Skills and Core Competencies:

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 Resource AllocationMentoringTeam 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%

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

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