Oracle Cloud Architect/Developer (HYBRID TELEWORK)

Lockheed Martin•Colorado Springs, AL

5d•$139,600 - $278,300•Hybrid

About The Position

Lockheed Martin is partnering with PG&E, Salesforce, and Wells Fargo to deliver EMBERPOINT™, an initiative designed to transform wildfire prevention, detection, and response across the United States. EMBERPOINT integrates advanced sensing technologies, artificial intelligence, and real-time command-and-control capabilities to help detect wildfires earlier, prevent escalation, and improve coordination between first responders, utilities, and emergency management organizations. To support this mission, we are building a scalable cloud-based data platform that enables rapid ingestion, storage, and analysis of large volumes of operational and sensor data. We are seeking an Oracle Cloud Database Architect to architect, deploy, and operate the databases that power these mission-critical applications and analytics pipelines. As the Oracle Cloud Database Manager, you will design and operate database environments that support the EMBERPOINT data platform. These databases will integrate with streaming ingestion pipelines and data lake services to enable real-time analytics, operational applications, and predictive wildfire intelligence. You will work closely with data engineering, platform engineering, and application development teams to ensure the platform delivers high availability, strong performance, and secure data management. Our team is building the cloud and data infrastructure that powers next-generation wildfire detection and response technologies. We work at the intersection of cloud engineering, large-scale data platforms, and mission-driven technology designed to protect communities and critical infrastructure. We value engineers who combine strong operational expertise with a systems perspective and who enjoy building reliable, scalable data services. You are a database professional who understands how modern data platforms operate in cloud environments. You bring experience managing high-availability database systems and integrating them with streaming data pipelines and cloud storage platforms. You are comfortable working across teams to ensure databases are secure, performant, and aligned with evolving platform architecture. You enjoy solving complex data infrastructure challenges and enabling analytics and applications to operate at scale.

Requirements

Experience administering Oracle Database environments.
Experience deploying and managing Oracle Autonomous Database.
Experience integrating databases with streaming or ingestion technologies (Kafka / OCI Streaming).
Experience integrating databases with object storage platforms.
Experience working with NoSQL or JSON document-based databases.
Experience implementing replication and high-availability database architectures.
Experience implementing backup, snapshot, and point-in-time recovery strategies.
Experience with database performance tuning and query optimization.
Experience implementing database security, encryption, and governance controls.

Nice To Haves

Experience with PostgreSQL or EnterpriseDB platforms.
Experience with data modeling and schema design.
Experience provisioning databases using Infrastructure as Code tools such as Terraform.
Experience administering Linux-based database environments.

Responsibilities

Architect, deploy, and operate relational and non-relational database environments in Oracle Cloud Infrastructure.
Manage Oracle Database and Autonomous Database platforms supporting application and analytics workloads.
Integrate databases with streaming ingestion technologies such as Kafka or OCI Streaming.
Support integration with object storage and data lake environments.
Implement and manage replication, high availability, and failover architectures.
Design and maintain backup, snapshot, and point-in-time recovery (PITR) strategies.
Optimize database performance through query tuning, indexing, and workload analysis.
Implement and maintain security, encryption, and governance controls to protect sensitive data.