Solutions Architect

🔥 49 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ASRC Federal

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2003

🎖️ Defense

🚀 Aerospace

🏛️ Government

Defense • Aerospace • Government

ASRC Federal is a wholly-owned subsidiary of Arctic Slope Regional Corporation that provides federal government contracting services across space, civilian, defense & intelligence, national security, and health markets. It delivers engineering solutions, digital operations and IT modernization, software, applications & analytics, supply chain management & logistics, infrastructure operations, and professional services to support missions such as NASA space programs, FAA aviation safety/operations, Air Force industrial support, cyber defense, and base/resiliency operations. The company operates a family of businesses whose earnings support ASRC’s more than 14,000 Iñupiaq shareholders and employs roughly 9,000 people.

📋 Description

• 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

• 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