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Northrop Grumman · 2 days ago

NG Fellow 1 – SDS Division Chief Data Engineer - R10189666

Roy, UT

Full-time

Onsite

Lead/Staff

$184K/yr - $276K/yr

15+ years exp

Northrop Grumman is a leader in technological advancements, seeking an NG Fellow 1 SDS Division Chief Data Engineer to develop and lead data strategies across their organization. The role requires providing technical leadership, overseeing data infrastructure, and driving innovation in data science and analytics.

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, manufacturing, and sustainment

Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving through modern technology

Lead and govern the use of the Program data infrastructure and capabilities to ensure seamless data flow and traceability across engineering, supply chain, and operational systems to include functional allocated and product baseline data from our suppliers

Drive innovation and program adoption of data science, machine learning, and AI to enhance program performance

Collaborate with engineering and business leaders to align data initiatives with corporate goals, including leveraging AI, digital twins, model-based systems engineering (MBSE), and Industry 4.0 adoption

Develop and enable program data risks management process in concurrence with program risk management

Maintain knowledge of current and emerging trends and technologies in data 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

Qualification

Data StrategyData InfrastructureData GovernanceData EngineeringCloud ExpertiseDevOpsData ScienceMachine LearningApache SparkCI/CD ToolsStakeholder ManagementTeam BuildingMentoringCommunication SkillsLeadership

Required

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field and 20+ years of related experience; 18+ years of experience with a Masters; 15+ years of experience with a PhD

10+ years of experience in data infrastructure, DevOps, and data engineering, with 3+ years in a leadership or senior technical role

Active Secret Security Clearance

Proven track record of architecting and realizing scalable, secure, and cost-effective data platforms preferably utilizing cloud-based platforms

Demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership

Proven track record of providing data driven insights at scale through data engineering, data integration and data science practices

Strong communication and presentation skills for collaborating with data scientists, engineers, and leadership stakeholders

Ability to travel up to 25%

Expertise in data governance, data security, data modeling, and enterprise architecture frameworks

Experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources

Data Architecture experience with and understanding of data lakes, warehouses, and/or streaming platforms

Data Engineering experience with tooling, such as Apache Spark and Kafka, and orchestration tools like Apache Airflow or equivalent

Continuous Integration/Continuous Deployment experience with CI/CD tools like Jenkins or GitLab 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 Top-Secret Security Clearance

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