Sr. Principal Software Engineer - R10216040-2

Northrop Grumman is a leader in technological advancements, seeking a Senior Principal Software Engineer to drive data, analytics, and AI transformation within their Insights & Intelligence organization. The role involves ensuring the reliability of data pipelines and infrastructure that support decision-making, while collaborating with data engineers and architects to implement effective solutions.

Responsibilities:

• Pipeline Reliability: Design, implement, and manage monitoring, alerting, and logging systems for all production data pipelines to ensure high availability and reliability within the Databricks environment
• CI/CD Implementation: Develop and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines for data code and infrastructure using tools like Git, Databricks Asset Bundles, or similar, ensuring rapid and safe deployment of changes
• Proactive Resolution: Identify, diagnose, and resolve workflow issues, performance bottlenecks, and operational failures, applying a software engineering mindset to infrastructure and operations
• Integration Development: Develop and optimize complex, scalable data integration solutions to ingest and deliver data from various enterprise source systems
• Code Quality: Set and maintain high standards for clean code and architecture with robust testing for integration components, treating data pipelines as production-grade software
• Collaboration: Work directly with Senior Data Engineers and Architects to translate designs into stable, well-engineered, and operational data services

Requirements:

• Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Must have a Minimum of 8 years of experience in a role focused on software development, DevOps, and data engineering
• Proven experience building data integrations from diverse sources like SQL, Oracle, and REST APIs
• Advanced proficiency in Python, with a strong background in writing robust, tested application code
• Hands-on experience with Databricks, Apache Spark, and AWS cloud services (e.g. S3, Kafka, Batch) and implementing Infrastructure as Code
• Demonstrated experience designing and implementing CI/CD practices for data or software systems
• Experience implementing data governance and permissions at scale within modern tools and technologies
• Deep understanding of networking, security, and performance tuning with Databricks and AWS
• Experience integrating data from specific enterprise systems (e.g., SAP, MES, PLM)