Senior Solution Architect

🕒 4 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Systems Planning & Analysis

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

📦 Logística

🏥 Saúde

💼 Consultoria

Logistics • Healthcare • Consulting

A Systems Planning & Analysis é uma empresa dedicada a apoiar iniciativas de segurança nacional por meio de análise inovadora e orientada por dados e serviços de engenharia. Com mais de 50 anos de experiência, a SPA concentra-se em áreas como inteligência de defesa e segurança interna, fornecendo expertise técnica e metodologias avançadas, incluindo IA e aprendizado de máquina. Suas capacidades abrangem desenvolvimento de software, engenharia de sistemas, análise de decisões e modelagem para resolver de forma eficaz desafios complexos enfrentados por clientes governamentais.

Descrição

• Define scalable solution architectures for a modern federal health data platform spanning cloud, on-premises, and government-hosted environments • Translate mission, business, data, security, and operational requirements into technical designs and implementation strategies • Develop current-state and target-state architectures for incremental modernization of legacy data systems • Design integration approaches across defense and federal systems, including APIs, pipelines, shared services, and reusable data products • Establish reference architectures, integration patterns, technical standards, and architectural guardrails • Evaluate architectural options based on security, scalability, performance, reliability, maintainability, cost, and delivery risk • Guide use of Databricks and cloud services across AWS, Azure, Oracle Cloud, and hybrid infrastructure • Account for data quality, governance, metadata, lineage, access, and lifecycle requirements • Lead technical discovery and architecture discussions with engineers, technical leaders, customers, and mission stakeholders • Produce and maintain architecture diagrams, interface definitions, design documentation, decision records, and technical roadmaps • Partner with Data Engineers and Technical Leads to review designs and resolve complex technical challenges • Identify dependencies, constraints, and risks and drive resolution across teams • Communicate architectural decisions, tradeoffs, and recommendations to technical and nontechnical audiences • Promote reusable patterns, lessons learned, and technical guidance across the shared data platform ecosystem

🎯 Requisitos

• Master’s degree in Computer Science, Information Systems, Software Engineering, or a related field • 10+ years of experience in solutions architecture, data architecture, software architecture, platform engineering, data engineering, or a related technical field • Experience designing complex enterprise data platforms or distributed solutions spanning multiple systems, applications, data sources, and organizational boundaries • Strong understanding of modern data platform concepts, including data ingestion, integration, transformation, storage, access, APIs, and data products • Experience designing hybrid solutions spanning public cloud, on-premises infrastructure, and government data centers • Experience architecting platforms supporting very large or highly complex datasets • Experience integrating modern platforms with legacy systems and developing incremental modernization strategies • Strong understanding of API design, system integration patterns, and data exchange approaches • Experience architecting solutions on AWS, with familiarity with Microsoft Azure or Oracle Cloud • Working knowledge of data modeling, metadata, lineage, data quality, and data governance principles • Ability to incorporate security, availability, performance, scalability, reliability, maintainability, and operational support requirements into technical designs • Experience evaluating technology options and documenting architecture diagrams, reference architectures, interface designs, technical roadmaps, and key technical decisions • Experience guiding engineering teams through implementation of complex technical designs • Strong understanding of modern software engineering practices, development lifecycles, and Git-based workflows • Strong client-facing communication and facilitation skills • Ability to independently navigate ambiguity, identify cross-cutting technical risks, and drive complex architectural decisions toward resolution • Active Secret clearance • Desired: experience with Databricks, Apache Spark, Palantir Foundry, Advana, federal health or regulated data environments, federal systems and security requirements, and AI/ML-enabled components

🏖️ Benefícios

• Competitive base pay • Variable compensation opportunities • Health insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life insurance • Disability insurance • Paid and unpaid time away from work • Industry-leading 401k contribution