This position is no longer accepting applications
Closed on July 28, 2026.
This role is filled — get an email when new Data Analytics roles open on DataJobs.io:
Consulting Technical Manager, AI Data Engineer
Manager
Analytics
Artificial Intelligence
Azure Cloud
Big Data
Consulting
Data Analytics
Data Engineer
Data Integration
Data Platform
Data Processing
Data Warehouse
Database
Databases
Information Technology (IT)
Integration
Oracle
Oracle Cloud
SQL
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Analytics jobs on DataJobs.io alert.
See other roles at Oracle.
Job Description
Oracle is seeking a Consulting Technical Manager, AI Data Engineer to design, build, and optimize cloud-based data pipelines and AI data platforms that support enterprise-scale initiatives in the Intelligence Community space. The role requires hands-on experience with Oracle-based systems in high-volume environments and TS/SCI eligibility with poly.
Responsibilities
- Design, construct, and optimize cloud-based data pipelines and AI data platforms to enable large-scale initiatives for Intelligence Community customers.
- Work with Oracle-based systems in high-volume environments to ensure reliability and performance.
- Collaborate with cross-functional teams including data scientists, DBAs, and business analysts to deliver robust solutions.
Requirements
- Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
- Minimum eight years of experience in data engineering, ETL development, or database management with enterprise-scale mission systems, preferably in the federal sector.
- Experience managing geospatial intelligence data, including vectors and rasters.
- Familiarity with cloud platforms such as Oracle Cloud, AWS, Azure, or Google Cloud Platform.
- Strong expertise in architecting and implementing Oracle databases.
- Experience enabling AI-ready data using vector data types, retrieval augmented generation (RAG), and MCP.
- Solid knowledge of ETL pipeline design and implementation for large-scale data systems.
- Experience with containers and Kubernetes.
- Proficiency in shell scripting, Python, or other automation tools.
- Familiarity with data governance, metadata management, and data lineage practices.
- Ability to work with cross-functional teams including data scientists, DBAs, and business analysts.
- Strong verbal and written communication skills for documenting and presenting solutions.
- Ability to obtain and maintain TS/SCI eligibility with poly required.
Technologies
- Oracle
- AWS
- Azure
- GCP
- Oracle Databases
- Containers
- Kubernetes
- Shell scripting
- Python
- RESTful APIs
- Oracle API Gateway
Desired Skills
- Designing multi-modal databases that integrate relational, spatial, JSON, and graph data types.
- Knowledge of data security best practices and regulatory compliance.
- Experience with DevOps and CI/CD pipelines in a data engineering context.
- Creating and deploying RESTful APIs with Oracle API Gateway.
- Oracle certifications such as Oracle Database Certified Professional or OCI Architect Professional are a plus.
- Experience supporting Intelligence Community agencies.
- Strong analytical, problem-solving, and innovative thinking abilities.
Similar Jobs
S
U