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# Data Architect

- **Company:** Guidehouse Inc.
- **Location:** San Antonio, TX, United States
- **Salary:** $106,000.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, JIRA, Microsoft Azure, Data Architecture, Data Validation, Data Dictionary, Data Governance, Data Integration, Github, Metadata, Meta-Data Management, Cloud Services, Data Logging, Enterprise Software Applications, Data Management
- **Published:** September 10, 2026
- **Apply:** https://guidehouse.wd1.myworkdayjobs.com/External/job/US---TX-San-Antonio/Data-Architect_43345

## About the Role

* 12+ years of enterprise data architecture, data integration, or data management experience * Experience defining data architecture for Momentum Financials/iFAMS, federal ERP, or comparable financial management implementations * Experience developing logical and physical data models, source-to-target mappings, data dictionaries, metadata, and data governance artifacts * Experience designing integration data patterns, reconciliation approaches, data validation controls, and audit/logging requirements * Experience collaborating with architects, developers, testers, security teams, and business stakeholders to resolve complex data design issues * Ability to obtain and maintain VA access * Experience working in Agile/SAFe environments * Experience supporting Federal IT programs preferred * Experience supporting enterprise application implementations preferred * Experience using Jira, Azure DevOps, Agility, GitHub, or similar tools * Strong written and verbal communication skills *
Experience working with cross-functional technical and business stakeholders

What Would Be Nice To Have:

 * Momentum Financials/iFAMS experience strongly preferred * Federal financial management, acquisition, or accounting data experience * Experience with cloud data platforms, data quality tooling, or enterprise metadata management

## Description

Provides senior data architecture leadership for the FMBT Interface effort, defining data standards, models, integration patterns, crosswalks, enrichment approaches, reconciliation processes, and data governance practices. Ensures interface data design supports functional, technical, security, auditability, and reporting requirements across iFAMS and partner systems.


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