Manager of Data Engineering
- Salary
- $133.2K–$199.8K
- Hiring from
- United States
- Work type
- Remote
- Posted
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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.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.
This position is supporting the corporate office in Falls Church, VA. We will consider virtual telecommuter candidates.
Key responsibilities:
- 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.
- Collaborate with leaders and 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 of 8 years of experience in software or data engineering with a relevant Bachelors Degree OR 6 years of experience in software or data engineering with a relevant Masters Degree.
- Must have a minimum of 2 years of experience in people management leading engineering teams.
- Proficiency with Databricks (or comparable modern data lakehouse platforms), cloud services (AWS), and data pipelines.
- Demonstrated skill in managing technical teams, process excellence, and meeting roadmap deliverables.
- 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.
- Deep domain expertise in one or more of the following areas: Finance, Supply Chain, Human Resources, or Manufacturing
