Solutions Architect

ASRC Federal

. Serve as the lead technical authority for solution architecture across data quality, remediation, automation, and AI-enabled efforts .

Posted 9/19/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solution architecture and data integration, with a strong focus on compliance with DHS standards and the ability to lead cross-functional teams in developing AI-enabled solutions. Proficient in modern data toolsets and cloud platforms, ensuring scalable and secure architectural designs.

Highest-signal resume keywords

Solution ArchitectureData IntegrationCloud Platforms (AWS/Azure)AI/ML Model DevelopmentETL/ELT Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureData ArchitectureSystems DesignETL/ELT PipelinesMicroservicesREST APIsSQLPythonDatabricksGit

Soft Skills

Excellent Communication SkillsCross-Functional CollaborationTechnical Leadership

Tools & Technologies

UiPathSparkCI/CD PipelinesDashboardsValidation Tools

Industry Keywords

DHS ComplianceLaw EnforcementMission-Critical EnvironmentsData QualityAutomation

Tech Stack

Tools & technologies

AWSAzureCloudETLMicroservicesPythonSparkSQL

About the role

Key responsibilities & impact

Serve as the lead technical authority for solution architecture across data quality, remediation, automation, and AI-enabled efforts
Translate DET root-cause analysis into scalable solution designs integrating rules-based fixes, remediation approaches, AI capabilities, workflow changes, and field-driven requirements
Develop and maintain architectural standards, models, patterns, and reference designs across ERTs
Oversee technical integration of data pipelines, automation scripts, AI/ML models, dashboards, and validation tools
Ensure technical solutions comply with DHS privacy, security, and records-management requirements
Lead design reviews during CARE lifecycle phases, validating feasibility, scalability, dependencies, security, and sustainability
Collaborate with data engineers, AI strategists, developers, law enforcement SMEs, and quality teams
Identify workflow improvements, system enhancements, and enterprise-level architectural changes
Assess impacts of system or process changes on data architecture, integrations, and downstream reporting
Support training datasets, remediation logic, and validation practices for AI-enabled solutions
Produce documentation including sequence diagrams, architecture briefs, system mappings, interface specifications, and implementation guidance
Provide technical leadership during backlog refinement and prioritize DETs based on dependencies, feasibility, and architecture
Monitor emerging technologies and recommend updates to architectural frameworks, toolsets, and best practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related technical field; Master’s degree preferred
Minimum of 8 years of experience in solution architecture, systems design, data architecture, or enterprise integration in complex technical environments
Strong understanding of cloud platforms (AWS/Azure), ETL/ELT pipelines, microservices, REST APIs, and security-focused architectures
Experience supporting data-centric operational systems, ideally within law enforcement or other mission-critical government environments
Proficiency with modern data and development toolsets (SQL, Python, Databricks, UiPath, Spark, Git, CI/CD pipelines, etc.)
Excellent communication skills and experience briefing both technical and executive-level stakeholders
Demonstrated ability to document architectures, manage system dependencies, design workflows, and lead cross-functional technical workstreams
Experience working within DHS, ICE, or similar environments is highly preferred