Senior Database Engineer — Oracle & Distributed Data Systems (Cleared)

Fruition Executive Search•Annapolis Junction, MD

1d•Hybrid

About The Position

The environment is a mission-critical, geographically distributed system serving the Intelligence Community, where interface, performance, and security tolerances are tight and non-negotiable. The role involves being a database engineering voice on a complex program, not just a ticket-taker. The position requires ownership of relational and non-relational data architecture, including design, build, and documentation. Responsibilities include managing data movement at scale, such as replication across distributed nodes, concurrent access, and failover/high-availability engineering. Performance tuning, capacity and performance planning, and issue investigation through resolution are key aspects. The role also covers backup, recovery, and user administration, as well as schema translation to turn requirements and raw data into usable structures via ad hoc queries, scripts, and macros. Additionally, it involves requirements analysis, risk assessment, and alternatives analysis for system-level problems, and defining long- and short-term database requirements for administration and design.

Requirements

Embedded in an Agile team, interfacing with systems, software, test, and information assurance engineers
Contribute to Program Increment Planning and collaborate daily with technical peers and customer POCs
Active TS/SCI with Full Scope Polygraph through the MD customer. Last poly within 6 years. No CCAs.
10+ years as a DBA on similar-scope programs
Strong Oracle SQL/PLSQL plus general SQL
Exposure to relational and NoSQL engines (PostgreSQL, MongoDB, Cassandra)
Scripting: Python, Perl, Bash/Linux shell, and/or JavaScript
Java as a language baseline
Technical bachelor's, or 4 years additional DBA experience in lieu

Nice To Haves

SAFe methodology or Agile team experience
Cassandra
MongoDB

Responsibilities

Relational and non-relational data architecture — design, build, and document
Data movement at scale: replication across distributed nodes, concurrent access, failover and high-availability engineering
Performance work: tuning, capacity and performance planning, issue investigation through resolution
Backup, recovery, and user administration
Schema translation — turning requirements and raw data into usable structures via ad hoc queries, scripts, and macros
Requirements analysis, risk assessment, and alternatives analysis for system-level problems
Long- and short-term database requirements for admin and design