Data Architect

Stealth Solutions, Inc.; Sterling (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Health insurance

Paid time off

Job summary

Stealth Solutions, Inc. is seeking an experienced Data Architect to lead enterprise data architecture and modernization across federal digital initiatives.

The role involves hands-on leadership, designing models, migration frameworks, and governance for both structured and unstructured data migrating to modern cloud platforms. The ideal candidate will drive data migration strategies, collaborate with cloud and DevSecOps teams, and ensure data integrity, security, and long-term scalability while

Qualifications

• Bachelor's degree in CS/IS/Data Engineering or related field.
• 8+ years enterprise experience.
• 5+ years leading data migration and modernization.
• Experience migrating large volumes of structured and unstructured data.
• Hands-on data modeling, migration frameworks, ETL/ELT processes.
• Experience migrating documents, images, metadata, and content.
• Strong knowledge of relational databases, SQL, JSON, XML, REST APIs.
• Experience with Salesforce data architecture and cloud apps.
• Experience governance, metadata, and data quality programs.
• Experience data profiling, reconciliation, validation, and migration testing.
• Experience supporting Agile modernization programs.

Responsibilities

• Lead enterprise data architecture for Salesforce Public Sector and cloud apps.
• Design enterprise data models (conceptual, logical, physical).
• Develop information architecture for structured and unstructured data.
• Architect large-scale data migrations to modern cloud platforms.
• Define data migration strategies, waves, cutover, rollback.
• Design ETL/ELT processes, canonical data models, sync strategies.
• Establish governance, metadata, master/data quality management.
• Lead validation, cleansing, deduplication, reconciliation.
• Collaborate with App, integration, cloud, and DevSecOps teams.
• Define API data contracts and enterprise integrations with MuleSoft.
• Design document/content migration strategies and archival policies.
• Ensure compliance with security, privacy, and records management.
• Lead migration readiness reviews and production cutover.
• Mentor teams on data architecture best practices.

Skills

Data architecture

Data migration

ETL/ELT

Cloud platforms

Salesforce

Data governance

Data quality

Leadership

SQL

APIs

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica

Snowflake

Azure Data Factory

MuleSoft

Job description

Benefits:

401(k)

401(k) matching

Health insurance

Paid time off

Position Overview

Stealth Solutions is seeking an experienced Data Architect to lead the enterprise data architecture and large-scale data modernization efforts supporting complex Federal digital transformation initiatives.

This is a hands-on technical leadership role responsible for designing enterprise data architecture, developing migration strategies, and leading the transformation of large volumes of structured and unstructured data from legacy platforms into modern cloud-based solutions. The successful candidate will define enterprise data models, information architecture, migration frameworks, and governance standards while ensuring data integrity, quality, security, and long-term scalability.

The ideal candidate has extensive experience modernizing legacy systems, migrating enterprise databases, documents, images, digital content, and metadata into modern cloud platforms while minimizing operational risk and maintaining data accuracy.

Candidates must reside within the Washington, DC, Maryland, or Virginia (DMV) metropolitan area to support occasional onsite meetings.

Key Responsibilities

• Lead enterprise data architecture supporting Salesforce Public Sector Solutions and cloud-based enterprise applications.
• Design conceptual, logical, and physical enterprise data models.
• Develop enterprise information architecture supporting structured and unstructured data.
• Architect and lead large-scale migration of structured data, documents, images, digital content, metadata, and historical records from legacy systems into modern cloud platforms.
• Define enterprise data migration strategies, migration waves, cutover planning, reconciliation, and rollback procedures.
• Design ETL/ELT processes, transformation logic, canonical data models, and data synchronization strategies.
• Establish enterprise data governance, metadata management, master data management, reference data management, and data quality standards.
• Define data validation, cleansing, deduplication, reconciliation, and quality assurance processes.
• Collaborate with application, integration, cloud, and DevSecOps teams to ensure successful migration and deployment activities.
• Partner with the MuleSoft Integration Architect to define API data contracts, enterprise integrations, and data exchange strategies.
• Design enterprise document and content migration strategies, including document metadata, file storage, indexing, searchability, retention, and archival.
• Ensure compliance with Federal security standards, privacy requirements, Zero Trust principles, records management, and enterprise data governance policies.
• Lead data architecture reviews, migration readiness assessments, and production cutover planning.
• Mentor developers and technical teams on enterprise data architecture and migration best practices.

Required Qualifications

• U.S. Citizenship required.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of enterprise experience.
• 5+ years of hands-on experience leading enterprise data migration and modernization initiatives.
• Demonstrated experience migrating large volumes of structured and unstructured data from legacy systems to modern cloud platforms.
• Hands-on experience designing enterprise data models, migration frameworks, ETL/ELT processes, and data transformation strategies.
• Experience migrating enterprise documents, images, digital assets, metadata, and file repositories.
• Strong knowledge of relational databases, SQL, JSON, XML, REST APIs, and enterprise data architecture.
• Experience with Salesforce data architecture and cloud-based enterprise applications.
• Experience implementing enterprise data governance, master data management, metadata management, and data quality programs.
• Experience performing data profiling, reconciliation, validation, and migration testing.
• Experience supporting Agile software development and enterprise modernization programs.
• Excellent communication, analytical, and technical leadership skills.

Preferred Qualifications

• Salesforce Data Architect certification.
• Salesforce Application Architect or System Architect certification.
• Experience with Salesforce Public Sector Solutions.
• Experience with Informatica, Data Cloud, Snowflake, Azure Data Factory, or comparable enterprise data platforms.
• Experience migrating enterprise content repositories and document management systems.
• Experience with OCR, intelligent document processing, metadata extraction, and enterprise search technologies.
• Experience supporting Federal cloud modernization initiatives.
• Experience with records management, digital archiving, and enterprise content management solutions.

Flexible work from home options available.