OverviewBigBear.ai is seeking a
Senior-Level Database Administrator (GraphDB/Vector Database Administrator) to join our team. The ideal candidate will have a strong background in managing and optimizing both Oracle and Graph databases. Project teams utilize Oracle RDS and AWS managed databases including Postgres and Neptune.
This role requires a thorough understanding of property graphs and RDF, including nodes, edges, properties, and triples. Proficient in AWS Neptune, Gremlin, openCypher, and/or SPARQL for querying and manipulating graph data. Basic Oracle DB administration, some NoSQL experience would be helpful. The ideal candidate will also have hands-on experience with failover and recovery, backups, migration of on-premises databases to AWS, and proficiency with AWS services. The successful candidate should be passionate about ensuring database performance, availability, and security, and experienced in debugging complex challenges and handling data warehouses.
What you will do- Database Management: Administer, maintain, and implement permissions, policies and procedures for ensuring the secure connectivity and integrity of databases
- Performance Tuning: Monitor database performance, implement changes and apply new patches and versions when required to ensure optimal performance. Work closely with the application teams to optimize the application interaction with Graph databases
- Failover and Recovery: Design and execute database backup and recovery strategies, including failover planning and testing
- Migration and Upgrade: Lead projects migrating from on-premises databases to AWS, relational databases to Graph databases, including planning, execution, and validation of database migrations and upgrades
- Security and Compliance: Ensure database security measures are in place, including access controls and audit logging. Comply with all applicable data privacy laws and regulations
- Data Warehousing: Manage and optimize AWS Redshift instances and other data warehousing solutions for scalable and efficient data storage and analysis
- Monitoring: Utilize AWS CloudWatch, Performance Insights and Dynatrace for monitoring database health, performance, and to automate scaling and notifications
- Troubleshooting and Support: Provide support for complex database issues, including troubleshooting and resolving database integrity issues, performance issues, blocking and deadlocking issues, replication issues, log shipping issues, etc.
What you need to have- Bachelor's Degree and 10 to 12 years of experience; Master's Degree and 8 to 10 years of experience; PhD and 5 to 7 years of experience (in lieu of Bachelor's degree, 6 additional years of relevant experience)
- Database Expertise: Proven experience as a DBA with expertise in Oracle and Graph databases
- AWS Managed Databases: Extensive experience with AWS Neptune database services
- Failover and Recovery: Solid experience in database failover, recovery procedures, and disaster recovery planning
- Migration Experience: Demonstrated experience with migrating on-premises databases to AWS
- Technical Skills: Proficient in MongoDB Query Language (MQL), database design, and data modeling. Familiarity with AWS CLI, SDKs, and CloudWatch
- Communication Skills: Excellent verbal and written communication skills
- Ability to handle Oracle Prod issues and carry the Oracle Duty Phone on a rotational basis. The candidate must have solid Graph database (AWS Neptune) skills as more and more applications are leveraging Graph databases. Solid experience of migrating databases from on-prem to cloud is a must
What we'd like you to have- Certifications: AWS or relevant database certifications (e.g., Oracle Certified Professional, AWS Associate Architect)
- Scripting Skills: Experience with scripting languages (e.g., Python, Bash) for automation of database tasks
- Monitoring Tools: Deep familiarity with database monitoring tools, especially AWS CloudWatch, Performance Insights and Dynatrace for performance monitoring and alerting
- Enterprise Database Management: Experience with large enterprise database design, implementation, and optimization, for example, Oracle RDS on Exadata. Experience with Oracle Real Application Clusters (RAC)
- Experience with DocumentDB or MongoDB is a plus
- Experience with Big Query is a plus
About BigBear.aiBigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
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