Apache Hadoop, Best Practices, Cross-Functional, Data Migration, Data Modeling, Data Recovery, Data Storage, Database Administration, Database Design, Database Technology, Disaster Recovery, Distributed Computing, HDFS (Hadoop Distributed File System), High Reliability, Identify Issues, Kerberos, Large-Scale Systems, MongoDB, Multiplatform/Cross-Platform, NoSQL, Performance Analysis, Performance Management, PostgreSQL, Relational Databases (RDBMS), SSL-TLS (Secure Socket Layer - Transport Layer Security), System Migration, Systems Maintenance
Database Admin
San Antonio, TX - Hybrid
Should have - Top Secret/SCI
Overview: As a Database Administrator in this role, you will be responsible for managing and optimizing both relational and NoSQL databases, ensuring high performance and reliability across platforms such as PostgreSQL and MongoDB. Your day-to-day work will involve designing robust schemas, tuning queries, and implementing best practices for data storage and retrieval. You will also be tasked with modernizing and consolidating complex data architectures, often leading initiatives to migrate data models and streamline storage solutions. Exposure to distributed data systems and large-scale storage technologies will be essential as you work with tools like Hadoop, HDFS, and Accumulo to support scalable, resilient data environments.
Responsibilities:
Design, implement, and optimize relational and NoSQL database schemas (PostgreSQL, MongoDB) to support business requirements and performance goals
Manage and maintain distributed data systems and large-scale storage technologies, including Hadoop, HDFS, and Accumulo
Lead the design, consolidation, and modernization of complex data architectures to ensure scalability and efficiency
Oversee and execute data migrations, including data modeling, migration planning, and consolidation activities
Ensure the security, reliability, and operational excellence of data platforms by implementing best practices in Kerberos, TLS, RBAC, backup and disaster recovery, and observability
Monitor database performance, troubleshoot issues, and proactively optimize systems for maximum uptime and reliability
Collaborate with cross-functional teams to align database solutions with organizational objectives and technical requirements
Thanks
Nivesh