Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Data Architect
Washington, DC, District of Columbia, United States
Live, first seen by us 60 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingLead enterprise and data architecture blueprints, solution designs, and architecture reviews
Lead data migration strategy, plans, crosswalks, trial migrations, and reconciliation
Set metadata standards, data stewardship, lineage, and authoritative data sources
Design Databricks Lakehouse architecture, security, and common data model
Design APIs, interfaces, and ETL/ELT pipelines, and run integration testing
From the employer’s posting
Enterprise & Data Architecture: Enterprise architecture, data architecture blueprints, system inventories, solution architecture, governance standards, decommissioning strategy, FinOps, architecture reviews (LEAD)
Data Migration Planning & Coordination: Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD)
Data Governance & Metadata Management: Metadata standards, stewardship, lineage, authoritative data sources (LEAD)
Databricks Lakehouse Support: Lakehouse architecture, security design, common data model, migration framework, reporting and analytics (LEAD)
Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
What you’ll bring
All qualificationsCore experience
- Experience designing enterprise data models, integration patterns, and governance standards.
- Bachelor’s degree in and/or Equivalent Experience in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline.
- Knowledge of data within federal systems related to human resources and financial management.
Preferred experience
- Experience leading projects in Databricks and cloud data platforms; experience with Cloudera desirable.
Qualification wording
Experience designing enterprise data models, integration patterns, and governance standards.
Bachelor’s degree in and/or Equivalent Experience in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline.
Knowledge of data within federal systems related to human resources and financial management.
Experience leading projects in Databricks and cloud data platforms; experience with Cloudera desirable.
Education & alternatives
Education: - Bachelor’s degree in and/or Equivalent Experience in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline. Join Our Team:
About CMT Services
is a dynamic and small business supporting Federal, State, and Local government agencies.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 4, 202660 days ago
- Recorded sightings
- 111
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 60
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
CMT Services is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Databricks
Where the posting names them
- Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing - Databricks Lakehouse Support: Lakehouse architecture, security design, common data model, migration framework, reporting and analytics (LEAD) - Knowledge Transfer: Training, SOPs, workshops, shadowing sessions, documentation, repository management
Required Qualifications: - Senior-level experience (5+ years) of progressive federal government experience in data architecture, data strategy, and data modernization, such as developing enterprise, data, and solution architectures; defining authoritative data sources, metadata standards, common data models, governance standards, and integration patterns; designing Databricks Lakehouse environments including Unity Catalog, data zones, and workspaces; and supporting data migration and legacy-to-modern system transitions. - Experience designing enterprise data models, integration patterns, and governance standards.
- Experience designing enterprise data models, integration patterns, and governance standards. - Experience leading projects in Databricks and cloud data platforms; experience with Cloudera desirable. - Knowledge of data within federal systems related to human resources and financial management.
Your next step
Complete your application on cmtservicesinc.bamboohr.com. The employer’s form will show what is required.
Applying through BambooHR
- No account needed. The form takes images too, but an image of a resume has no text for anyone to search: upload a PDF or Word file.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
ABOUT US:
CMT Services Inc. is a dynamic and small business supporting Federal, State, and Local government agencies. As an SBA-certified HUBZone, Woman Owned Small Business (WOSB), we deliver quality, professional services to support the missions and strategic business goals of our clients.
Position Title: Data Architect
Location:
U.S. Department of Agriculture
1400 Independence Ave., SW
Washington, DC 20250
Period of Performance:
Start Date: One 1-year base period plus 1-year option periods
Place of Performance:
Hybrid (Mostly Remote – needs to be able to attend meetings at USDA in DC)
Position Summary: The Data Architect Designs enterprise data strategy, models, and integration patterns. Defines governance standards and leads data modernization and cloud architecture initiatives.
Key Responsibilities:
Enterprise architecture, governance, migration strategy, common data model, Lakehouse architecture, solution designs.
- Enterprise & Data Architecture: Enterprise architecture, data architecture blueprints, system inventories, solution architecture, governance standards, decommissioning strategy, FinOps, architecture reviews (LEAD)
- Data Migration Planning & Coordination: Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD)
- Data Governance & Metadata Management: Metadata standards, stewardship, lineage, authoritative data sources (LEAD)
- Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
- Databricks Lakehouse Support: Lakehouse architecture, security design, common data model, migration framework, reporting and analytics (LEAD)
- Knowledge Transfer: Training, SOPs, workshops, shadowing sessions, documentation, repository management
Required Qualifications:
- Senior-level experience (5+ years) of progressive federal government experience in data architecture, data strategy, and data modernization, such as developing enterprise, data, and solution architectures; defining authoritative data sources, metadata standards, common data models, governance standards, and integration patterns; designing Databricks Lakehouse environments including Unity Catalog, data zones, and workspaces; and supporting data migration and legacy-to-modern system transitions.
- Experience designing enterprise data models, integration patterns, and governance standards.
- Experience leading projects in Databricks and cloud data platforms; experience with Cloudera desirable.
- Knowledge of data within federal systems related to human resources and financial management.
- Problem-solving, documentation, and presentation skills.
Education:
- Bachelor’s degree in and/or Equivalent Experience in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline.
Join Our Team:
At CMT Services, we believe that extraordinary results come from empowering exceptional people. If you're ready to lead innovative projects, solve complex challenges, and contribute to meaningful infrastructure development while advancing your career in a supportive, collaborative environment, we want to hear from you.
Disclaimer:
By submitting your resume for this job posting, you authorize CMT Services, Inc. to forward your resume to all applicable internal and external managers, agencies, and recruitment personnel for review and consideration to hire.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Washington, DC, District of Columbia, United States
Place of Performance: Hybrid (Mostly Remote – needs to be able to attend meetings at USDA in DC) Position Summary: The Data Architect Designs enterprise data strategy, models, and integration patterns. Defines governance standards and leads data modernization and cloud architecture initiatives.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.