Solution Architect

🕒 il y a 16 jours

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $150 000 - $215 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Systems Planning & Analysis

Site WebLinkedInTous les Emplois

1001 - 5000 employés

📦 Logistique

🏥 Santé

💼 Conseil

Logistics • Healthcare • Consulting

Systems Planning & Analysis est une entreprise dédiée à soutenir les initiatives de sécurité nationale grâce à une analyse et des services d'ingénierie innovants basés sur les données. Forte de plus de 50 ans d'expérience, SPA se concentre sur des domaines tels que le renseignement de défense et la sécurité intérieure, offrant une expertise technique et des méthodologies avancées incluant l'IA et l'apprentissage automatique. Leurs capacités couvrent le développement de logiciels, l'ingénierie des systèmes, l'analyse décisionnelle et la modélisation pour relever efficacement les défis complexes auxquels sont confrontés les clients gouvernementaux.

Description

• 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 and capabilities • Design integration approaches across disparate 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 effective 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 in platform and solution designs • 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 solution designs and resolve complex technical challenges • Identify architectural dependencies, constraints, and risks and drive them toward resolution • Communicate architectural decisions, tradeoffs, and recommendations to technical and nontechnical audiences • Promote reusable patterns, lessons learned, and technical guidance across teams to grow the shared data platform ecosystem

🎯 Exigences

• Active Secret clearance • 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 translate mission and business needs into actionable technical direction • Ability to independently navigate ambiguity, identify cross-cutting technical risks, and drive complex architectural decisions toward resolution • Desired: Experience with Databricks, Apache Spark, or similar modern data platforms • Desired: Experience with Palantir Foundry, Advana, or similar DoW data environments • Desired: Experience supporting federal health or other regulated and sensitive data environments • Desired: Experience with DoW or other federal systems and government security, compliance, authorization, and data-handling requirements • Desired: Experience with federal health, financial, or other regulated and sensitive data • Desired: Experience designing AI/ML-enabled components, evaluating build-versus-buy and cost tradeoffs, and accounting for applicable federal AI guidance

🏖️ Avantages

• Competitive base pay • Variable compensation opportunities • Health insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life insurance • Disability insurance • Paid time away from work • Unpaid time away from work