Senior Solution Architect

Systems Planning & Analysis

. Define scalable solution architectures for a modern federal health data platform spanning cloud, on-premises, and government-hosted environments .

Posted 9/17/2026full-timeRemote • United StatesSenior💰 $150,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining scalable solution architectures for federal health data platforms, integrating modern and legacy systems while ensuring data quality, governance, and security. Proficient in leading technical discussions and guiding engineering teams through complex architectural implementations.

Highest-signal resume keywords

Solutions ArchitectureData ArchitectureAPI DesignAWS ArchitectureData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData IntegrationData TransformationData StorageData AccessHybrid SolutionsArchitecture DiagramsTechnical RoadmapsSystem Integration PatternsSoftware Engineering Practices

Soft Skills

Client-Facing CommunicationFacilitation SkillsProblem-SolvingNavigating AmbiguityTeam Collaboration

Tools & Technologies

DatabricksApache SparkAWSMicrosoft AzureOracle Cloud

Certifications & Qualifications

Master’s Degree in Computer ScienceActive Secret Clearance

Industry Keywords

Federal Health DataRegulated Data EnvironmentsLegacy SystemsIncremental ModernizationAI/ML-Enabled Components

Tech Stack

Tools & technologies

ApacheAWSAzureCloudOracleSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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