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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** VERSA Integrated Solutions - **Location:** Washington, DC, United States - **Experience:** Starter - **Salary:** $135,766.0 - $163,503.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Microsoft Azure, Batch Processing, Business Intelligence Development, Cloud Computing, Cloud Computing Security, Cloud Database, Cyber Security, Information Systems, Data Architecture, Data Validation, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Information Leak Prevention, Extract Transform Load (ETL), Data Masking, Data Transformation, Data Profiling, Dataspaces, Data Systems, Relational Databases, Graph Database, Interoperability, JSON, PostgreSQL, Machine Learning, Meta-Data Management, Microsoft Visio, Microsoft SQL Server, SQL Azure, MySQL, Systems Development Life Cycle, Role-Based Access Control, Reference Data, Software Tools, Cloud Services, Lucidchart, Zero Trust Network Access, Azure Data Lake, SQL Databases, SQL Server Reporting Services, Data Streaming, Systems Integration, Unstructured Data, Extensible Markup Language (XML), Enterprise Data Management, Privacy Controls, Azure Data Factory, Snowflake, Data Strategy, Event Driven Architecture, Microsoft Fabric, Pyspark, Information Technology, Data Lineage, AWS Data Analytics, Apache Kafka, Data Management, Physical Data Models, Cloud Migration, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6802130ee6edcdb1 ## About the Role * Strong enterprise architecture experience. Excellent analytical and problem-solving skills. Strong communication and presentation abilities. Experience designing enterprise data solutions. Knowledge of federal data governance principles. Ability to lead technical architecture initiatives. Experience supporting cloud modernization programs., Bachelor's degree in: * Computer Science Information Systems Data Science Information Technology Engineering Mathematics Master's degree preferred. Equivalent experience may substitute for education. Experience Levels Junior (0-4 Years) * Experience with SQL and relational databases. Knowledge of data modeling fundamentals. Exposure to cloud platforms and ETL concepts. Experience supporting enterprise data environments. Intermediate (5-9 Years) * Design and implementation of enterprise data models. Experience with Azure or AWS cloud data platforms. Data governance and integration experience. Support for analytics and reporting initiatives. Senior (10-14 Years) * Leadership in enterprise data architecture. Large-scale cloud data modernization. Data governance program leadership. AI and analytics platform architecture. Mentoring technical teams. Subject Matter Expert (15+ Years) Recognized expertise in: * Enterprise Data Architecture Cloud Data Platforms Data Governance Data Modernization Artificial Intelligence Enablement Federal Data Strategy Executive Technical Leadership Preferred Certifications * Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Fabric Analytics Engineer Associate AWS Certified Data Engineer Snowflake SnowPro Core DAMA Certified Data Management Professional (CDMP) TOGAF® Enterprise Architecture ITIL® 4 Foundation Desired Federal Experience Experience supporting one or more of the following agencies is highly desirable: * U.S. Census Bureau Department of Commerce National Institutes of Health (NIH) Centers for Medicare & Medicaid Services (CMS) Department of Homeland Security (DHS) Department of Defense (DoD) Department of Labor (DOL) General Services Administration (GSA) Experience supporting enterprise data modernization, cloud migration, analytics, or AI initiatives within federal environments is strongly preferred. Security Clearance * Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements., Work Environment ## Description VERSA Integrated Solutions is seeking an experienced Data Architect to lead the design, implementation, governance, and optimization of enterprise data architectures supporting Federal Government customers. The Data Architect is responsible for defining enterprise data strategies, designing scalable data ecosystems, establishing governance frameworks, and ensuring secure, reliable, and high-performing data environments. The successful candidate will collaborate with executive leadership, enterprise architects, cloud engineers, AI/ML engineers, software developers, cybersecurity professionals, and business stakeholders to create modern data platforms that support analytics, business intelligence, artificial intelligence, and mission-critical operations., The Data Architect will: * Develop enterprise data architecture strategies aligned with agency missions. Design scalable and secure cloud-based and hybrid data architectures. Establish enterprise data governance and metadata management practices. Improve data quality, accessibility, interoperability, and lifecycle management. Enable advanced analytics, AI/ML, and business intelligence capabilities. Ensure compliance with federal cybersecurity, privacy, and records management requirements. Major Duties & Responsibilities Enterprise Data Architecture * Design enterprise-wide data architectures supporting structured, semi-structured, and unstructured data. Develop conceptual, logical, and physical data models. Establish enterprise data standards and architecture principles. Define reference architectures for cloud, hybrid, and on-premises environments. Collaborate with Enterprise Architects to align data architecture with overall IT strategy. Data Strategy & Governance * Develop enterprise data strategies and implementation roadmaps. Establish data governance policies and procedures. Define data ownership, stewardship, and accountability. Develop metadata management and master data management (MDM) strategies. Support compliance with the Federal Data Strategy and agency governance initiatives. Cloud Data Platforms Design and support modern cloud data environments using: * Microsoft Azure Azure Synapse Analytics Azure Data Lake Azure SQL Azure Fabric (preferred) AWS Data Services Snowflake Databricks Provide guidance on cloud migration strategies and modernization efforts. Data Integration & Engineering * Define enterprise data integration standards. Design ETL/ELT architectures. Support API integration strategies. Architect data ingestion pipelines. Enable real-time and batch processing solutions. Optimize data movement and synchronization. Data Quality & Master Data Management Develop enterprise solutions supporting: * Data profiling Data cleansing Data lineage Data cataloging Reference data management Master data management Data quality monitoring Data validation Security & Compliance Collaborate with cybersecurity teams to implement: * Zero Trust principles Data encryption Role-based access control (RBAC) Data masking Data loss prevention (DLP) Audit logging Records retention Privacy controls Support compliance with: * NIST 800-53 FISMA FedRAMP Privacy Act Section 508 (where applicable) Analytics & Business Intelligence Enable enterprise analytics platforms supporting: * Power BI Tableau Microsoft Fabric Business Intelligence dashboards Executive reporting Predictive analytics Artificial Intelligence initiatives Collaboration Partner with: * Enterprise Architects Cloud Architects AI/ML Engineers Data Engineers Database Administrators Software Developers Cybersecurity Engineers Business Analysts Program Managers Provide architectural guidance throughout the system development lifecycle. Required Technical Skills Data Platforms * SQL Server PostgreSQL Oracle MySQL Azure SQL Snowflake Databricks Cloud Platforms * Microsoft Azure Azure Synapse Azure Data Lake Microsoft Fabric AWS Data Services Data Technologies * SQL Python Spark Data Factory ETL/ELT REST APIs JSON XML Data Modeling Tools * ERwin ER/Studio Visio Lucidchart Business Intelligence * Power BI Tableau SSRS Preferred Skills * Artificial Intelligence data platforms Machine Learning data preparation Data mesh architecture Data fabric architecture Knowledge graphs Graph databases Event-driven architectures Real-time streaming platforms Azure Event Hub Apache Kafka ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)