Lockheed Martin is seeking a senior-level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise-grade data platforms and strong expertise with SAP HANA and modern cloud data services.
Responsibilities:
- Design, build, and maintain secure data pipelines for classified AI/ML workloads
- Design and implement ontology-driven data models to support knowledge representation and reasoning
- Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs
- Implement rigorous data validation, lineage, and governance controls in compliance with security requirements
- Collaboration with data architects and data analysts to develop a solution across the entire data processing pipeline
- Experience working with business stakeholders to develop and deploy data analytics solutions and/or custom software application solutions and leading teams to implement these solutions
- Optimize performance and reliability of large-scale data systems under constrained environments
- Mentor junior engineers and uphold secure coding and engineering best practices
- Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders
- Able to perform impact analysis including lineage, upstream and downstream dependencies
- Support after hours on-call operations on a rotation basis
Requirements:
- Degree in Computer Science, Systems Engineering, or related field
- 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
- 5+ years of experience in data analysis, data/system architecture
- Experience in gathering requirements and understanding business processes
- Strong proficiency in Python, NiFi, SQL
- Experience with distributed data processing frameworks (e.g., Spark or similar)
- Hands-on experience building ETL/ELT pipelines at scale
- Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government) or on-prem systems
- Understanding of data security principles, including encryption, access control
- Familiar with Safe Agile framework
- US Citizenship
- Experience designing and building ontologies, taxonomies, or knowledge graphs
- Demonstrate ability to establish strong team relationships and deliver an exceptional customer experience
- Excellent organizational, time management, analytical and problem-solving skills
- Master's degree in a related technical field