Role overview

Qualifications

Bachelor’s degree in computer science, Information Systems, Engineering, or related field
10+ years of experience in enterprise data architecture, data engineering, or data platform modernization
U.S. Citizenship required
Proven experience leading large-scale enterprise data architecture initiatives

Responsibilities

Define and maintain enterprise data architecture standards, frameworks, and roadmaps supporting FPAC’s EDAPT environment
Translate business requirements into scalable technical architectures across data lakes, warehouses, analytics platforms, and operational systems
Establish end-to-end data strategy including ingestion, transformation, storage, governance, and consumption patterns
Develop architecture artifacts including conceptual, logical, and physical data models

Key facts

Remote from: Virginia (USA)
Full time
Senior (5-10 years)
Data Architect
English

Hard skills

Data Architecture Amazon Web Services Data Governance Data Modeling Data Engineering Data Lakes Enterprise Integration Metadata Management SQL (Programming Language) PostgreSQL Hybrid Systems Scrum (Software Development) gRPC Microsoft Azure

Other skills

Collaboration
Mentorship
Decision Making

About the company

VivSoft

Company details

Links

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Job description

Job Title: Senior Data Architect
Location: Remote
Clearance: Public Trust
Type: Full-time, W2
About VivSoft:
VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning.

Job Summary:
We are seeking a Senior Data Architect to support the USDA Farm Production and Conservation (FPAC) Enterprise Data and Analytics Platform (EDAPT). This role will lead enterprise-wide data architecture initiatives across cloud and hybrid environments, enabling scalable analytics, secure integration, and governance-driven data management.
The ideal candidate will translate business and mission requirements into modern data solutions that support enterprise reporting, advanced analytics, and trusted decision-making while ensuring compliance with federal security and data governance standards.

Key Responsibilities:

Define and maintain enterprise data architecture standards, frameworks, and roadmaps supporting FPAC’s EDAPT environment.
Translate business requirements into scalable technical architectures across data lakes, warehouses, analytics platforms, and operational systems.
Establish end-to-end data strategy including ingestion, transformation, storage, governance, and consumption patterns.
Develop architecture artifacts including conceptual, logical, and physical data models.
Architect enterprise data ecosystems spanning cloud and hybrid environments including AWS and on-premises platforms.
Lead implementation of scalable data solutions using AWS S3, Athena, Glue, Redshift, Databricks, Oracle, SQL Server, PostgreSQL, and related technologies.
Design and govern multi-source integrations and enterprise data pipelines.
Establish patterns for secure data sharing and interoperability across business domains.
Drive metadata management, lineage tracking, cataloging, and governance practices.
Implement and maintain governance frameworks leveraging tools such as Unity Catalog and enterprise metadata repositories.
Ensure architecture alignment with federal security and compliance requirements including FISMA, FedRAMP, and NIST 800-53.
Define standards for data quality, stewardship, retention, and lifecycle management.
Serve as the senior technical authority for enterprise data architecture initiatives.
Collaborate with executives, product owners, developers, and data engineering teams.
Review architectural designs, database models, and engineering implementations for scalability and performance.
Mentor technical teams and establish architectural best practices.

Required Skills & Experience:

Bachelor’s degree in computer science, Information Systems, Engineering, or related field.
10+ years of experience in enterprise data architecture, data engineering, or data platform modernization.
U.S. Citizenship required.
Proven experience leading large-scale enterprise data architecture initiatives.
Hands-on experience with AWS data services such as S3, Athena, Glue, and Redshift.
Experience across hybrid environments including Oracle, SQL Server, PostgreSQL, Informix
Strong experience with: Data Warehousing, Data Lakes, Metadata Management, Data Governance, Data Modeling, Enterprise Integration Patterns
Knowledge of: FISMA, FedRAMP, NIST 800-53.

Preferred Qualifications

Experience supporting USDA or other Federal Civilian agencies.
PMP, PMI-ACP, Scrum Master, or SAFe certifications.
Exposure to cloud data ecosystems (AWS, Azure, GCP).
Knowledge of ETL, data lake, data governance, and modern BI platforms.

Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only) 
Life Insurance 
Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) 
401K Retirement Plan with employer match 
Professional Development Training Reimbursement

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