Manager Data Engineering 3

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

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