Data Architect

Zachary Piper Solutions is currently seeking a Data Architect to support the Continuous Diagnostics and Mitigation (CDM) Program . This position is critical in strengthening cybersecurity data visibility across federal environments. As a Data Architect, you will play a pivotal role in designing and managing data structures that power enterprise-level cybersecurity dashboards, enabling stakeholders to monitor assets, vulnerabilities, compliance, and risk in a high-impact government program. This is a HYBRID role based out of Arlington, VA .

Key Responsibilities:

• Serve as the Subject Matter Expert (SME) for data modeling efforts across the CDM Dashboard program.
• Design, develop, and manage logical and physical data models supporting cybersecurity datasets (hardware, software, vulnerabilities, configurations, compliance, and risk scoring).
• Perform data model impact analysis and manage change processes across evolving requirements.
• Create and maintain Data Dictionaries and Data Catalogs to document schemas and data inventories for cross-team usage.
• Ensure adherence to data modeling standards and clearly communicate modeling intent to both technical and non-technical stakeholders.
• Collaborate with Agile teams, leadership, and customer representatives to align data architecture with mission goals.
• Evaluate programming logic (Python, Java) to understand data pipeline inputs, transformations, and outputs.
• Govern and improve data quality across completeness, consistency, accuracy, and usability.
• Act as a technical liaison to customers, supporting data quality initiatives and requirements gathering.
• Provide architectural guidance and best practices to ensure scalable and compliant data strategies.
• Support the development of dashboard data backends for cybersecurity analytics and reporting.

Requirements:

• Bachelor's degree (or equivalent experience); Master's degree preferred
• Demonstrated experience designing and managing cybersecurity data schemas, including familiarity with:
  • SCAP, STIX, OTEL
  • Elastic Common Schema
  • Splunk Common Information Model
• Strong background in data modeling, including:
  • Developing and documenting models
  • Interpreting model intent
  • Managing data model changes
  • Supporting enterprise modeling efforts as an SME
• Deep understanding of:
  • UML standards (ERDs, entities, attributes, relationships)
  • Relational and non-relational databases
  • Data normalization techniques
• Proven experience designing and maintaining complex data warehouses with high integrity and quality
• Experience ensuring and improving data quality practices
• Familiarity with Atlassian tools (Jira, Confluence, Bitbucket)
• Strong analytical and problem-solving skills with the ability to work independently in fast-paced environments
• Excellent communication skills for conveying complex data concepts to diverse audiences

Desired Skills:

• Experience with cybersecurity tools and platforms
• Familiarity with Elasticsearch ecosystem
• Ability to develop automation or software solutions to improve data processes
• Experience performing statistical and quantitative data analysis

Compensation:

• Salary Range: $140,000 - $180,000 *based on experience*
• Benefits: Medical, Dental, Vision, 401(k), PTO, and Sick Leave (as required by law)

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Keywords: Data Modeling, Data Architecture, CDM Program, Cybersecurity Data, Data Governance, Data Quality, Data Warehouse, ERD, UML, SCAP, STIX, OTEL, Elastic Common Schema, Splunk CIM, Elasticsearch, Python, Java, Data Catalog, Data Dictionary, Schema Design, Risk Scoring, Compliance Data, Cyber Analytics, Federal Cybersecurity, Agile, Jira, Confluence