Manager Data Engineering

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 successfully balance speed, quality, and cost. Furthermore, you will play a key role in recruiting top talent, mentoring engineers, and influencing strategic decisions that determine how data is utilized and leveraged at Northrop Grumman. 

 
Key responsibilities:

• Lead and grow 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. 

• Continuously assess and recommend new tools and methodologies to enhance team efficiency and system performance. 

 

 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