Back to jobs

Database Architect (Remote)

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Develop conceptual, logical and physical data models and ER diagrams

  • Translate APHIS Regulated Garbage Program Manual rules into relational schemas

  • Optimize T-SQL queries, indexing and partitioning

  • Enable FOIA-ready audit trails and data structures

  • Support integrations with CBP Agricultural Workspace, APHIS ARM and other external systems

From the employer’s posting
Develop conceptual, logical, and physical data models, ER diagrams, metadata structures, lineage rules, and retention policies.
Translate APHIS Regulated Garbage Program Manual requirements into sustainable, automated data flows and scalable relational schemas.
Optimize T‑SQL queries, indexing, performance tuning, partitioning, and cloud SQL configuration.
Enable FOIA‑ready audit trails and data structures aligned to regulatory workflows.
Support integration and data exchange with external systems, including CBP Agricultural Workspace, APHIS ARM, IPHIS, FMD, and enterprise authentication systems

What you’ll bring

All qualifications

Core experience

  • Experience Developing T-SQL Stored Procedures, Triggers, and Functions Experience writing Python scripts using Pandas Extensive experience in enterprise data architecture and relational data modeling.
  • Excellent communication skills for presenting complex data concepts to technical and non‑technical audiences.
  • Experience working specifically with USDA APHIS or other federal compliance systems.
  • Deep expertise in Azure SQL, T‑SQL, indexing, and cloud-based data performance tuning.
  • Ability to collaborate effectively with cross-functional technical and business teams.
  • Experience designing data architectures supporting inspection, incident, compliance, or regulatory workflows.
Qualification wording
Experience Developing T-SQL Stored Procedures, Triggers, and Functions Experience writing Python scripts using Pandas Extensive experience in enterprise data architecture and relational data modeling. Deep expertise in Azure SQL, T‑SQL, indexing, and cloud-based data performance tuning. Experience supporting large-scale workflow, inspection, or compliance-driven systems. Familiarity with MuleSoft or comparable enterprise integration platforms. Experience delivering solutions within an Agile Scrum environment. Proficiency in using Azure DevOps for work management and technical documentation.
Strong analytical and problem‑solving abilities. Excellent communication skills for presenting complex data concepts to technical and non‑technical audiences. Ability to collaborate effectively with cross-functional technical and business teams. High attention to detail and commitment to accuracy. Ability to lead, mentor, and guide team members. Experience working with government clients.
Experience working specifically with USDA APHIS or other federal compliance systems. Advanced experience with MuleSoft or other enterprise integration platforms. Experience designing data architectures supporting inspection, incident, compliance, or regulatory workflows. Background in cloud security, data lineage tooling, or large-scale data governance frameworks. Experience mentoring junior data engineers or architects.
Education & alternatives
Education & Experience (Minimum) Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). Extensive experience in enterprise data architecture, relational modeling, and designing data solutions for large, workflow‑driven systems. Expertise in Azure SQL, T‑SQL, performance tuning, and cloud data engineering. Experience working in Agile Scrum environments with Azure DevOps/TFS. Experience with integration platforms (MuleSoft or similar). Required Qualifications

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
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

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

From 10,782 similar postings that came down. Coming down is not always a hire.

Koniag Government Services is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

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.

  • Python
  • SQL
  • Azure
  • pandas
Where the posting names them
Required Qualifications Experience Developing T-SQL Stored Procedures, Triggers, and Functions Experience writing Python scripts using Pandas Extensive experience in enterprise data architecture and relational data modeling. Deep expertise in Azure SQL, T‑SQL, indexing, and cloud-based data performance tuning. Experience supporting large-scale workflow, inspection, or compliance-driven systems. Familiarity with MuleSoft or comparable enterprise integration platforms. Experience delivering solutions within an Agile Scrum environment. Proficiency in using Azure DevOps for work management and technical documentation. Soft Skills
Applications for this position will be accepted through November 30, 2026 Koniag Data Solutions, a Koniag Government Services company, is seeking an experienced Data Architect to support the USDA APHIS Plant Protection and Quarantine (PPQ) Commodity Treatment Information System – Modernization (CTIS‑M) program. This fully remote role will support the data architecture design and modernization efforts required to implement the Regulated Garbage (RG) Module, replacing manual, paper‑based workflows with an integrated digital compliance capability inside CTIS‑M. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. The Data Architect will work closely with the CTIS‑M DME team, USDA APHIS leadership, and cross‑functional engineering teams to deliver enterprise data modeling, workflow‑aligned data structures, FOIA‑ready audit capabilities, and integration frameworks that comply with USDA, APHIS, FEA, and federal ICT standards. This position also participates directly in Agile sprint execution, documentation, requirements analysis, and Section 508 compliance processes. Must be able to obtain and maintain a Public Trust clearance. Essential Job Functions Enterprise Data Architecture & Modeling Guide the design and optimization of the CTIS‑M Azure SQL data architecture supporting all Regulated Garbage (RG) workflows. Develop conceptual, logical, and physical data models, ER diagrams, metadata structures, lineage rules, and retention policies. Ensure all data structures are compliant with USDA, APHIS, PPQ, FEA, federal regulatory, audit, and reporting requirements. Define and enforce enterprise data modeling standards, naming conventions, and governance practices. Workflow, Compliance, and Regulatory Data Support
Technical Delivery, Cloud Architecture & Performance Optimize T‑SQL queries, indexing, performance tuning, partitioning, and cloud SQL configuration. Ensure solutions comply with Section 508 accessibility requirements for system‑generated content, forms, and documents. Support performance, load, and stress testing for data-layer components. Collaborate with developers to ensure secure, compliant, vulnerability‑free data implementation. Agile Delivery & Documentation Requirement
Education & Experience (Minimum) Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). Extensive experience in enterprise data architecture, relational modeling, and designing data solutions for large, workflow‑driven systems. Expertise in Azure SQL, T‑SQL, performance tuning, and cloud data engineering. Experience working in Agile Scrum environments with Azure DevOps/TFS. Experience with integration platforms (MuleSoft or similar). Required Qualifications
Agile Delivery & Documentation Requirement Participate in Agile ceremonies including backlog grooming, sprint planning, sprint review, and retrospectives. Create and maintain user stories, functional and non‑functional requirements, data requirements, process flows, and technical design documentation. Support required Azure DevOps/TFS artifact population: backlog items, documentation, code repositories, burn‑down/velocity reports, and deployment artifacts. Contribute to architecture reviews and ensure alignment to CTIS‑M modernization strategy. Collaboration

Your next step

Complete your application on jobs.dayforcehcm.com. The employer’s form will show what is required.

Applying through Dayforce

  • The application asks you to sign in to the employer’s Dayforce candidate portal, or create an account there.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Applications for this position will be accepted through November 30, 2026 Koniag Data Solutions, a Koniag Government Services company, is seeking an experienced Data Architect to support the USDA APHIS Plant Protection and Quarantine (PPQ) Commodity Treatment Information System – Modernization (CTIS‑M) program. This fully remote role will support the data architecture design and modernization efforts required to implement the Regulated Garbage (RG) Module, replacing manual, paper‑based workflows with an integrated digital compliance capability inside CTIS‑M.   Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.   The Data Architect will work closely with the CTIS‑M DME team, USDA APHIS leadership, and cross‑functional engineering teams to deliver enterprise data modeling, workflow‑aligned data structures, FOIA‑ready audit capabilities, and integration frameworks that comply with USDA, APHIS, FEA, and federal ICT standards. This position also participates directly in Agile sprint execution, documentation, requirements analysis, and Section 508 compliance processes. Must be able to obtain and maintain a Public Trust clearance.   Essential Job Functions Enterprise Data Architecture & Modeling Guide the design and optimization of the CTIS‑M Azure SQL data architecture supporting all Regulated Garbage (RG) workflows. Develop conceptual, logical, and physical data models, ER diagrams, metadata structures, lineage rules, and retention policies. Ensure all data structures are compliant with USDA, APHIS, PPQ, FEA, federal regulatory, audit, and reporting requirements. Define and enforce enterprise data modeling standards, naming conventions, and governance practices.   Workflow, Compliance, and Regulatory Data Support Translate APHIS Regulated Garbage Program Manual requirements into sustainable, automated data flows and scalable relational schemas. Support electronic workflows for Compliance Agreements, inspections, monitoring checklists, direct observations, incidents, escalations, and enforcement records. Enable FOIA‑ready audit trails and data structures aligned to regulatory workflows. Support integration and data exchange with external systems, including CBP Agricultural Workspace, APHIS ARM, IPHIS, FMD, and enterprise authentication systems (eAuthentication, UMS, Login.gov).   Technical Delivery, Cloud Architecture & Performance Optimize T‑SQL queries, indexing, performance tuning, partitioning, and cloud SQL configuration. Ensure solutions comply with Section 508 accessibility requirements for system‑generated content, forms, and documents. Support performance, load, and stress testing for data-layer components. Collaborate with developers to ensure secure, compliant, vulnerability‑free data implementation.   Agile Delivery & Documentation Requirement Participate in Agile ceremonies including backlog grooming, sprint planning, sprint review, and retrospectives. Create and maintain user stories, functional and non‑functional requirements, data requirements, process flows, and technical design documentation. Support required Azure DevOps/TFS artifact population: backlog items, documentation, code repositories, burn‑down/velocity reports, and deployment artifacts. Contribute to architecture reviews and ensure alignment to CTIS‑M modernization strategy.   Collaboration Provide technical guidance to developers implementing data‑layer features. Collaborate closely with cross-functional engineering, business, and federal stakeholder teams. Communicate complex data architecture concepts clearly to technical and non‑technical audiences. Support knowledge transfer and training activities as part of CTIS‑M deployment.   Education & Experience (Minimum) Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). Extensive experience in enterprise data architecture, relational modeling, and designing data solutions for large, workflow‑driven systems. Expertise in Azure SQL, T‑SQL, performance tuning, and cloud data engineering. Experience working in Agile Scrum environments with Azure DevOps/TFS. Experience with integration platforms (MuleSoft or similar).   Required Qualifications Experience Developing T-SQL Stored Procedures, Triggers, and Functions Experience writing Python scripts using Pandas Extensive experience in enterprise data architecture and relational data modeling. Deep expertise in Azure SQL, T‑SQL, indexing, and cloud-based data performance tuning. Experience supporting large-scale workflow, inspection, or compliance-driven systems. Familiarity with MuleSoft or comparable enterprise integration platforms. Experience delivering solutions within an Agile Scrum environment. Proficiency in using Azure DevOps for work management and technical documentation.   Soft Skills Strong analytical and problem‑solving abilities. Excellent communication skills for presenting complex data concepts to technical and non‑technical audiences. Ability to collaborate effectively with cross-functional technical and business teams. High attention to detail and commitment to accuracy. Ability to lead, mentor, and guide team members. Experience working with government clients.   Security Requirements Must be able to obtain and maintain a Public Trust Clearance. Must meet all Federal suitability requirements.   Good to Have – But Not Required Experience working specifically with USDA APHIS or other federal compliance systems. Advanced experience with MuleSoft or other enterprise integration platforms. Experience designing data architectures supporting inspection, incident, compliance, or regulatory workflows. Background in cloud security, data lineage tooling, or large-scale data governance frameworks. Experience mentoring junior data engineers or architects.   Our Equal Employment Opportunity Policy: The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.     The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or to apply to a position on our website, please contact Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.     Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.    Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Maryland, USA

This passage needs a closer read in the full description.

Work authorization

This passage needs a closer read in the full description.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.