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Linthicum Heights, MD

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Dice.com

AWS Solutions Architect ? Data Architecture

Pay: Not specified

Posted: 3 days ago

Location: Linthicum Heights, MD (Onsite)

Last Updated: 1 day ago

Hours: Full-Time

Expires: 11/4/2026

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Job Description

AWS Solutions Architect ? Data Architecture Skills

AWS Solutions Architect
AWS Data Architect
Data Architecture
AWS
AWS S3
AWS Glue
AWS Athena
AWS Redshift
Data Lake
Data Lakehouse
Big Data
Data Modeling
Data Governance
Data Integration
Metadata Management
Data Lineage
Data Security
Cloud Architecture
Solution Architecture
System Design
AWS Data Analytics
AI/ML
MDM
Enterprise Architecture
Legacy Modernization
Data Migration
AWS Certified Solutions Architect
AWS Certified Data Analytics
AWS Solutions Architect
AWS Data Architect
Data Architecture
AWS
AWS S3
AWS Glue
AWS Athena
AWS Redshift
Data Lake
Data Lakehouse
Big Data
Data Modeling
Data Governance
Data Integration
Metadata Management
Data Lineage
Data Security
Cloud Architecture
Solution Architecture
System Design
AWS Data Analytics
AI/ML
MDM
Enterprise Architecture
Legacy Modernization
Data Migration
AWS Certified Solutions Architect
AWS Certified Data Analytics
Summary AWS Solutions Architect

•

Data Architecture Client:

Department of Human Services Location:

Linthicum, MD

100%

Onsite, Monday-Friday Work Location:

849 International Dr., Linthicum, MD 21090

Candidate Requirement:

Must live in the DMV area

Interview:

In-Person

Linthicum, MD Visa:
Any Vis Important Notes
100% onsite
teleworking is not permitted.
Candidates must live in the DMV area.
Face-to-face interview is mandatory in Linthicum, MD.
This is a senior AWS Data / Solutions Architecture role.
Must have experience leading large, complex IT implementation efforts.
One of the following certifications is required:
AWS Certified Solutions Architect
AWS Certified Data Analytics
Specialty
AWS Certified Big Data Job Summary Seeking an experienced AWS Solutions Architect / Data Architect to design and lead enterprise data architecture solutions for an AWS Cloud-based Lakehouse environment.

The role focuses on AWS data architecture, data modeling, governance, integration, security, metadata management, performance optimization, and legacy-to-modern system transition, while providing technical leadership across data and IT initiatives. Key Responsibilities

Develop and maintain AWS Cloud-based Lakehouse data architecture.
Design data models, storage, processing, and integration using S3, Glue, Athena, Redshift, and related AWS services.
Define and enforce data governance, quality, security, and compliance standards.
Design scalable data integration solutions between diverse sources and the data lake.
Optimize architecture for performance, scalability, availability, and low latency.
Implement metadata management, data cataloging, lineage, and discoverability solutions.
Develop security controls aligned with AWS security best practices.
Work with data engineers, analysts, data scientists, and other technical teams.
Maintain architecture diagrams, design specifications, and data-flow documentation.
Evaluate emerging AWS services and data technologies.
Drive continuous improvement of enterprise data architecture.
Support transition from legacy to modern systems through information flows, data exchange, and data translation/standardization. Must-Have Requirements
10+ years of overall IT experience.
10+ years planning, designing, building, and implementing IT systems.
6+ years in solution architecture, system design, and data management.
At least 5 years leading/managing major complex IT implementation projects involving professional services, integration, implementation, and/or architecture transition.
Proven experience as a Data Architect in AWS cloud environments.
Extensive AWS Cloud, data lake/lakehouse, and big data experience.
Strong knowledge of:
AWS S3
AWS Glue
AWS Athena
AWS Redshift
Data Modeling
Data Governance
Data Security
Data Integration
Metadata Management
Strong experience designing data integration solutions and optimizing data processing.
Experience leading major IT implementation efforts or serving as Chief Architect.
Strong leadership, mentoring, communication, presentation, and stakeholder-management skills.
Strong project management and problem-solving abilities.
Bachelor's degree in Engineering, Computer Science, Mathematics, or related field.
One required AWS certification: Solutions Architect / Data Analytics
Specialty / Big Data. Preferred Requirements
Master's degree in a related field.
Data and AI/ML project experience.
Government or public-sector experience.
Experience in HHS-related domains such as:
Data Services / MDM / R360 / EDMS
Child Support
Integrated Eligibility
Child Welfare
Adult Protective Services
Juvenile Justice
Health & Human Services
Experience with legacy-to-modern architecture transitions.
Strong experience mentoring junior architects and technical teams.

Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.