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Data Architect-Enterprise Data Analyst

IMAGINEEER LLC

Washington, DC

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Analysis, Artificial Intelligence (AI), Best Practices, Brokerage, Business Intelligence, Business Operations, Business Support, Centers for Disease Control and Prevention (CDC), Cloud Computing, Code Reviews, Computer Science, Content Management Systems (CMS), Data Analysis, Data Management, Data Migration, Data Modeling, Data Quality, Data Visualization Tools, DataArchitect Data Modeling Tool, Database Design, Department of Health and Human Services, FDA (Food and Drug Administration), Federal Compliance Regulations, Federal Government, Functional Analysis, HL7 (Health Level 7), Health Insurance, Information Technology & Information Systems, Information/Data Security (InfoSec), Integration Testing, Internet Technology, Interoperability, Machine Learning, Maintain Compliance, Master Data Management (MDM), Mentoring, Microservices, Microsoft Windows Azure, Migration Strategy, National Information Exchange Model (NIEM), National Institutes of Health (NIH), Performance Tuning/Optimization, Privacy Impact Assessment (PIA), Quality Management, Query Analysis, REST (Representational State Transfer), Records Management, Reporting Skills, SOAP (Simple Object Access Protocol), SQL Databases, Section 508, Service-Oriented Architecture (fka Distributed Object Architecture), Software Patches, Stewardship, Strategic Planning, System Migration, Systems Reliability, Talent Management, Team Player, Technical Leadership, Technical Support, Technical Writing, Test Plan/Schedule, Testing, U.S. National Institute of Standards and Technology (NIST), United States Citizen, Validation Plan, Validation Testing, Web Services
LOCATION
Washington, DC
POSTED
30+ days ago
Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role: 



The Data Architect / Enterprise Data Analyst will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations. 



The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data. 


Key Responsibilities: 


· Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.


· Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.


· Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.


· Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.


· Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.


· Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and


Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications.


· Develop reports, queries, and analytics solutions to support business intelligence and operational insights.


· Create and maintain technical documentation for all configurations, customizations, and integrations.


· Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.


· Support upgrades, patches, and maintenance activities with minimal operational disruption.


· Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.


· Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.





Qualifications and Skills: 


· Bachelor’s degree in Computer Science, Information Technology, or a related discipline.


· Proficient in SQL and relational database design, supporting scalable and efficient data solutions.


· Proven success working within federal government systems or comparable enterprise environments.


· At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.

· Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen


· Certified in data governance and management (e.g., CDMP, DGCP).


· Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.


· In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).


· Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.


· Familiar with AI governance, and responsible machine learning practices.


· Proficient in cloud-based data governance, master data management, and data architecture principles.


· Experienced with business intelligence and data visualization tools.


· Knowledgeable in records management standards and federal compliance procedures.


Desired Skills and Competencies: 


  • Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC). 
  • Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements. 
  • Experience with enterprise data warehouses or data lakes. 
  • Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA. 
  • Knowledge of FHIR, HL7, NIEM or federal data interoperability standards. 
  • Experience with API integrations, service-oriented architecture (SOA), or microservices. 

Flexible work from home options available.

About the Company

I

IMAGINEEER LLC

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