Data Architect

Job Summary

We are seeking an experienced and hands-on Data Architect/Data Engineer to design, modernize, secure, and support enterprise data platforms within a federal environment. This role blends strategic data architecture with deep database engineering and operational support responsibilities. Ability to lead data architecture efforts while actively supporting database security remediation, Oracle-to-PostgreSQL migrations, and production data tool support. This position requires close collaboration with federal stakeholders, application teams, and infrastructure teams to ensure scalable, secure, and compliant data solutions.Key ResponsibilitiesEnterprise Data Architecture

• Design and maintain enterprise data architecture frameworks, models, and standards
• Develop logical and physical data models for structured and unstructured data
• Define data integration strategies across multiple systems and platforms
• Establish data governance, data quality, metadata management, and master data standards
• Review and approve data design artifacts including schemas, pipelines, and ETL processes
• Document architecture decisions, workflows, and technical standards
• Provide guidance on cloud-based and on-prem data architectures

Database Security & Compliance (Task 1)

• Identify, assess, and remediate security findings across Oracle, MySQL, and middleware servers/databases
• Perform vulnerability remediation, patching, and configuration hardening
• Ensure compliance with federal security controls and data protection standards
• Partner with cybersecurity teams on audit findings and POA&M items
• Implement database security best practices (access controls, encryption, auditing)

Deliverable 1: Generate status and completion reports on security findings remediation.Database Migration & Modernization (Task 2)

• Lead and support migration of Oracle databases to PostgreSQL in on-prem environments
• Collaborate with application teams to convert PL/SQL procedures, packages, and functions to PostgreSQL (PL/pgSQL)
• Analyze legacy database dependencies and develop migration strategies and runbooks
• Develop automation scripts and validation procedures for migration activities
• Troubleshoot and resolve post-migration performance and functional issues
• Support data-driven modernization initiatives including analytics and AI/ML enablement

Deliverable 2: Generate end-to-end migration reports and fully document the migration process.Data Platform Engineering & Operational Support (Task 3)

• Monitor and support enterprise tools including EACT, ETT, and WPG
• Maintain and enhance CIDR monitoring scripts and related workflows
• Handle incoming support tickets related to EIS datasets and access tools
• Diagnose and resolve production issues within defined SLAs
• Improve reliability, observability, and performance of supported systems
• Collaborate with DevOps, infrastructure, and application teams

Deliverable 3: Resolve EIS support tickets in a timely manner for internal data and access tools.Required Qualifications

• 10 years of experience in Data Architecture, Data Engineering, or Database Engineering
• Strong hands-on experience with:
• Oracle Database
• PostgreSQL
• MySQL
• Deep knowledge of data modeling, data warehousing, and ETL frameworks
• Experience with database security remediation and vulnerability management
• Proficiency in SQL performance tuning and query optimization
• Experience supporting production systems in ticket-driven environments
• Strong understanding of federal security and compliance requirements
• Excellent communication and stakeholder management skills

Preferred Qualifications

• Prior experience supporting U.S. Federal agencies
• Knowledge of Federal Data Strategy, FISMA, and related compliance frameworks
• Experience with middleware platforms (e.g., WebLogic, Tomcat)
• Experience with automation/scripting (Python, Bash, or similar)
• Familiarity with CIDR and network-aware data environments
• Experience with cloud data platforms (AWS, Azure, or GCP)
• Exposure to AI/ML data pipelines and advanced analytics
• Relevant certifications (AWS, Azure, DAMA, Security)

Job Types: Full-time, Contract

Pay: $135,000.00 - $145,000.00 per year

Benefits:

• 401(k)
• Health insurance
• Paid time off
• Vision insurance

Education:

• Bachelor's (Required)

Experience:

• Python: 7 years (Required)
• DevOps: 7 years (Required)
• AWS: 5 years (Required)
• Docker: 5 years (Required)
• Terraform: 5 years (Required)
• Kubernetes: 5 years (Required)

Work Location: In person

Salary : $135,000 - $145,000