Manager Data Engineering 2

Role Description

Northrop Grumman is looking for a highly organized, people-focused engineering leader to lead our Data Engineering team within the Insights & Intelligence (i2) organization. Remote location options are considered for the right candidate.

Insights & Intelligence (i2) is reimagining decision making at Northrop Grumman. As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses to drive our data, analytics & AI transformation.

As a leader, you will manage a team of data and software engineers working across critical domains of the business. In this role, you will directly influence how we build our Databricks enterprise lakehouse and our culture of engineering excellence that enables the team to develop reliable data systems. You will have the opportunity to grow as an engineering leader, influencing the technical architecture and code standards on the team along with the technical roadmap and its execution.

• Define and maintain a data engineering roadmap; align technical priorities with business objectives and the Northrop Grumman data strategy.
• Build and lead a high-performing, collaborative team; mentoring engineers on design patterns, code quality, data architecture, and career development.
• Champion clean, modular architecture and enforce engineering best practices.
• Drive end-to-end delivery of data pipelines in Databricks, ensuring reliability, scalability, and performance while meeting roadmap milestones.
• Lead the migration to our Databricks enterprise lakehouse.
• Collaborate with leaders and teams across various functions, including business management, business development, facilities, human resources, supply chain, and manufacturing.

Qualifications

• Must have, at minimum, a Bachelor’s degree in Computer Science, Engineering, or a related field.
• Must have a minimum of 8 years of experience in software or data engineering with a relevant Bachelor's Degree OR 6 years of experience in software or data engineering with a relevant Master's Degree.
• Must have a minimum of 2 years of experience in people management leading engineering teams.
• Must have proficiency with Databricks (or comparable modern data lakehouse platforms), cloud services (AWS), and data pipelines.
• Must have demonstrated skill in managing technical teams, process excellence, and meeting roadmap deliverables.
• Must have strong communication and stakeholder management skills, with a demonstrated ability to influence both technical and executive audiences.

Requirements

• Master’s degree or PhD in Engineering or related field (preferred).
• Experience integrating data from enterprise systems such as SAP, Workday, ServiceNow, and Salesforce (preferred).
• Deep domain expertise in one or more of the following areas: Finance, Supply Chain, Human Resources, or Manufacturing (preferred).

Benefits

• Health insurance coverage.
• Life and disability insurance.
• Savings plan.
• Company paid holidays.
• Paid time off (PTO) for vacation and/or personal business.