Digital Innovation Division DataOps Lead
Core
Lead enterprise-scale data platforms and pipelines, establishing DataOps ecosystems for mission-critical space applications.
Role type
Senior DataOps Lead / Data Engineering Manager
Builds
Corporate data management platforms, automated ingestion/transformation pipelines, and secure data architectures for AI and modeling.
Domain
Aerospace / Defense / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data engineering and orchestration (Airflow, dbt, NiFi, Kafka, Spark, Kubernetes), Cloud platforms (AWS, Azure, GCP), Data governance and security frameworks (NIST, FedRAMP, CMMC), Metadata and Master Data Management (MDM), Team leadership and mentorship, Strategic planning and cross-functional collaboration
Preferred skills
Advanced degree in STEM, 12+ years experience with 3+ in leadership, Cloud/DevOps/Security certifications (CISSP, CISA), National space domain mission experience
Technologies
Apache Airflow, dbt, NiFi, Talend, Kafka, Spark, Kubernetes, Azure Data Factory, Synapse, Purview, AWS, Azure, GCP
Responsibilities
Establish and maintain corporate data management platforms on classified and hybrid networks; Lead integration of enterprise data standards, security, and best practices for automated data ingestion and delivery; Coordinate with cross-functional teams to design scalable, secure data architectures aligned with AI and modeling goals; Lead a team of 10 data engineers and architects providing mentorship and career development; Research emerging tools and architectures to champion innovation in data engineering.
Seniority
Senior, hands-on IC with leadership responsibilities