imagineeer · 3 months ago
Data Architect-Enterprise Data Analyst
Washington , DC 20201
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expImagineeer is committed to empowering transformation through data analysis and operationalization of intuition. 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, focusing on improving data quality, accessibility, security, and interoperability.
Computer Software
No H1B
U.S. Citizen Only
Responsibilities
Develop and maintain enterprise data architecture strategies, standards, and roadmaps aligned with HHS mission and federal data policies
Lead design of conceptual, logical, and physical data models for enterprise systems and data warehouses
Support modernization efforts by designing scalable, secure cloud-based data solutions (AWS, Azure, or GCP)
Define and enforce data architecture principles, metadata standards, and integration patterns across systems
Recommend improvements to data storage, access, and reporting solutions to support enterprise analytics capabilities
Establish enterprise data governance frameworks including data ownership, stewardship, metadata, and lineage strategies
Identify and address data quality issues by defining validation rules, profiling datasets, and implementing quality controls
Support Master Data Management (MDM) and data catalog efforts to improve consistency and discoverability of enterprise data
Develop enterprise data dictionaries, metadata repositories, and system documentation
Design and support ETL/ELT processes using tools such as Informatica, Talend, Azure Data Factory, or AWS Glue
Collaborate with BI teams to deliver enterprise dashboards, reports, and data visualizations in Power BI, Tableau, or Qlik
Integrate and align data from multiple systems, including ERP, HR, grants, finance, and program datasets
Support data interoperability initiatives using APIs, service buses, and data sharing platforms
Work with HHS program offices, business analysts, data owners, and architects to understand business priorities and translate them into data capabilities
Serve as a trusted advisor for data strategy, stewardship, and data-driven decision-making
Facilitate data workshops, governance meetings, and working sessions with technical and non-technical stakeholders
Support project planning, requirements analysis, and solutions development within Agile or SDLC frameworks
Qualification
Required
U.S. Citizen with the ability to obtain and maintain a Public Trust clearance
Bachelor's degree in Information Systems, Data Science, Computer Science, or related field
8+ years of experience in data architecture, enterprise data analysis, or data engineering
Experience developing enterprise data models, data dictionaries, and metadata standards
Strong hands-on experience with SQL and relational databases (Oracle, SQL Server, PostgreSQL)
Experience with ETL/ELT tools and data integration techniques
Familiarity with cloud-based data platforms (AWS, Azure, or GCP)
Knowledge of data governance frameworks and data quality best practices
Excellent communication skills, especially in complex federal environments
Preferred
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
Benefits
401(k) matching
Competitive salary
Health insurance
Paid time off
Company
imagineeer
We engage, empower, enable, and imagine a future where the patient, consumer, customer, and business is the center of everything you do.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase