Senior Database Developer (5480)

SMX•Washington, DC

8d•$95,600 - $160,700•Onsite

About The Position

We are seeking a Senior Cloud Database Developer to serve as the core database authority for the Business Intelligence Suite. In this role, you will support the health, performance, security, and scalability of the FFD Data Warehouse and underlying cloud database ecosystems (e.g., AWS Redshift, PostgreSQL/Aurora). You will not simply be executing routine O&M; you will actively lead data architecture modernizations, optimize high-volume analytical query performance for BI engines (like WebFOCUS), and enforce the security posture. If you are looking to engineer and maintain an enterprise data platform for executive federal decision-makers, this is the position for you. This position is on site in Washington, DC and requires an active Top-Secret clearance.

Requirements

8+ years of progressive experience in database development and administration, with at least 4+ years dedicated to cloud database platforms (AWS preferred) supporting high-volume data warehouses or BI environments.
Advanced expertise in Amazon Redshift and PostgreSQL / Aurora administration.
Direct experience configuring database targets and connection pools for Apache Airflow, AWS Glue, or similar modern orchestration platforms.
Expert-level proficiency in advanced SQL, query plan analysis, query tuning, stored procedures, and schema optimization.
Strong hands-on scripting skills in Python or Bash for automating database maintenance, monitoring alerts, and data pipeline tasks.
Deep knowledge of cloud DB security practices and HA/DR strategies.
Active Top Secret clearance.

Nice To Haves

Familiarity with optimizing database performance specifically for TIBCO WebFOCUS or similar enterprise BI reporting engines.
Domain awareness of federal financial data structures (e.g., UFMS, procurement datasets) and government data governance policies.
AWS Certified Database - Specialty, AWS Certified Solutions Architect, or relevant database industry certifications

Responsibilities

Lead the engineering, configuration, performance tuning, and lifecycle management of cloud-native analytical data stores (Amazon Redshift, AWS Aurora PostgreSQL, RDS)
Proactively monitor system performance, optimize database parameters, design indexing/partitioning/distribution strategies, and refactor complex SQL stored procedures to accelerate query execution for reporting tools like WebFOCUS.
Oversee the migration, replication, and synchronization of legacy data assets into modern cloud repositories using tools such as AWS Database Migration Service (DMS) and containerized pipeline orchestrators (e.g., Apache Airflow).
Write operational automation scripts (using Python, Bash, or Infrastructure-as-Code frameworks like Terraform/CloudFormation) for automated schema deployments, DDL/DML migrations, health checks, and database maintenance tasks.
Partner directly with Data Engineers, Business Analysts, and Software Architects to review schema designs, enforce data modeling best practices, and resolve complex data integration bottlenecks.