Manager Data Engineering 3

RELOCATION ASSISTANCE : No relocation assistance available

CLEARANCE TYPE : None

TRAVEL : Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is hiring a Manager of Data Engineering to lead the Data Engineering team within the Insights & Intelligence (i2) organization. This role will report to the Director of Data Intelligence & Engineering. This role is based in Falls Church, VA and hybrid and / or remote options will be 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 Senior Manager, you will lead a team of data engineers working across critical domains including Business Management, Business Development, Human Resources, Supply Chain, and Manufacturing. You will be responsible for powering business-critical data pipelines and scaling our data infrastructure. A primary objective is to define a clear technical vision and foster a culture of engineering excellence that enables the team to develop reliable data systems that balance speed, quality, and cost. Furthermore, you will play a role in recruiting talent, mentoring engineers, and influencing strategic decisions that determine how data is used at Northrop Grumman.

Key responsibilities :

Lead a high-performing data engineering team that fosters a culture of technical excellence and continuous learning.

Oversee the end-to-end data lifecycle from ingestion to transformation and delivery in Databricks, ensuring reliability and scalability in alignment with business objectives.

Lead the migration of data integrations, pipelines, architectures, and existing platforms to Databricks.

Identify and resolve systemic workflow issues, proactively recommending and executing process improvements.

Guide the adoption of best-in-class engineering practices, emphasizing robust testing, monitoring, security, and data quality enforcement.

Set high standards for technical excellence, promoting clean architecture and code quality through mentorship and hands-on guidance.

Collaborate with business stakeholders and analytics teams across various functions, including business management, business development, facilities, human resources, supply chain, and manufacturing.

Basic Qualifications :

Must have, at minimum, a Bachelor's degree in Computer Science, Engineering, or a related field.

Must have a minimum 12 years of experience in data engineering or a related technical field, including experience managing scalable data platforms.

Must have a minimum of 3 years of experience in people management and leading technical teams.

Proven experience in building scalable architectures, data modeling, data warehousing, and data governance.

Advanced proficiency in SQL and Python, with hands-on experience using Databricks, Spark, Kafka, and other modern data platforms.

Proven track record of leading technical strategy, making architectural decisions, and delivering impactful data systems.

Experience in recruiting and developing senior engineering talent while fostering a high-performance, value-driven team culture.

Strong communication and stakeholder management skills, with a demonstrated ability to influence both technical and executive audiences.

Preferred Qualifications :

Master's degree or PhD in Engineering or related field.

Experience integrating data from enterprise systems such as SAP, Workday, ServiceNow, and Salesforce.

Experience implementing data governance at scale within modern tools and technologies.

Deep domain expertise in one or more of the following areas : Finance, Supply Chain,Human Resources, or Manufacturing

Primary Level Salary Range : $154,600.00 - $255,000.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and / or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.