Northrop Grumman is looking to solve the problem of powering business-critical data pipelines and scaling data infrastructure by hiring a Manager of Data Engineering to lead the Data Engineering team within the Insights & Intelligence (i2) organization.
Requirements
- Advanced proficiency in SQL and Python, with hands-on experience using Databricks, Spark, Kafka, and other modern data platforms.
- Proven experience in building scalable architectures, data modeling, data warehousing, and data governance.
- 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
- Minimum 12 years of experience in data engineering or a related technical field, including experience managing scalable data platforms.
- Minimum of 3 years of experience in people management and leading technical teams.
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.
Other
- 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.
- Strong communication and stakeholder management skills, with a demonstrated ability to influence both technical and executive audiences.
- U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
