远程工作雷达

解决方案架构师

Solutions Architect

开发工程限定地区(需当地身份)
公司ASRC Federal
薪资$135,000 - $160,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

ASRC Federal 是一家领先的政府承包商,致力于在太空、公共卫生和国防领域推进任务。作为一家阿拉斯加原住民拥有的公司,我们的工作有助于保障股东的长远未来。加入我们的团队,了解为什么我们是一家顶尖的退伍军人雇主,并获得认证的“最佳工作场所™”称号

解决方案架构师将作为技术设计权威,负责定义、对齐并管理支持 ICE LESA 数据质量改进支持服务合同下数据质量、修复和 AI 赋能活动的架构蓝图。该角色确保所有解决方案——涵盖数据管道、AI/ML 集成、自动化工作流、分析工具、仪表板和系统增强——具备可扩展性、合规性、安全性,并符合 ICE 任务需求。解决方案架构师与数据工程师、AI 策略师、开发人员、分析师和执法领域专家密切合作,确保技术解决方案符合 DHS/ICE 的隐私、安全和文件管理要求,同时在所有错误响应团队(ERTs)中实现一致、可靠的交付。主要职责

  • 在所有数据质量、修复、自动化和 AI 支持的工作中担任解决方案架构的主要技术负责人。
  • 将 DET 根本原因分析转化为可扩展的解决方案设计,整合基于规则的修复、修复方法、AI 能力、流程变更和现场驱动的需求。
  • 制定并维护架构标准、模型、模式和参考设计,以指导 ERTs 中的一致实施。
  • 监督数据管道、自动化脚本、AI/ML 模型、仪表板和验证工具在 DET 修复中的技术集成。
  • 确保所有技术解决方案符合 DHS 的隐私、安全和文件管理要求。
  • 在 CARE 生命周期阶段提供设计评审领导,验证可行性、可扩展性、依赖关系、安全要求和长期可持续性。
  • 与数据工程师、AI 策略师、开发人员、执法领域专家和质量团队合作,确保解决方案符合操作流程和系统实际情况。
  • 识别流程改进、系统增强和企业级架构变更的机会,防止数据错误的再次发生。
  • 评估拟议的系统或流程变更对数据架构、集成或下游报告的影响。
查看英文原文

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
The Solution Architect will serve as the technical design authority responsible for defining, aligning, and governing the architectural blueprint that supports data quality, remediation, and AI enablement activities under the ICE LESA Data Quality Improvement Support Services contract. This role ensures that all solutions—spanning data pipelines, AI/ML integrations, automation workflows, analytics tooling, dashboards, and system enhancements—are scalable, compliant, secure, and aligned with ICE mission needs. The Solution Architect collaborates closely with data engineers, AI strategists, developers, analysts, and law enforcement SMEs to ensure technical solutions adhere to DHS/ICE privacy, security, and records management requirements while enabling consistent, reliable delivery across all Error Response Teams (ERTs). Key Responsibilities

  • Serve as the lead technical authority for solution architecture across all 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 to guide consistent implementation across ERTs.
  • Oversee the technical integration of data pipelines, automation scripts, AI/ML models, dashboards, and validation tools used in DET remediation.
  • Ensure all technical solutions comply with DHS privacy, security, and records management requirements.
  • Provide design review leadership during CARE lifecycle phases, validating feasibility, scalability, dependencies, security requirements, and long term sustainability.
  • Collaborate with Data Engineers, AI Strategists, Developers, Law Enforcement SMEs, and Quality teams to ensure solutions align with operational workflows and system realities.
  • Identify opportunities for workflow improvements, system enhancements, and enterprise level architectural changes to prevent recurrence of data errors.
  • Assess impacts of proposed system or process changes on data architecture, integrations, or downstream reporting.
  • Support development of training datasets, remediation logic, and validation practices for AI enabled solutions.
  • Produce and maintain comprehensive documentation including sequence diagrams, architecture briefs, system mappings, interface specifications, and implementation guidance.
  • Provide technical leadership during backlog refinement, helping prioritize DETs based on system dependencies, feasibility, and architectural considerations.
  • Monitor emerging technologies and recommend updates to architectural frameworks, toolsets, and best practices.

Qualifications

  • 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.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.
Originally posted on Himalayas

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