Solutions Architect
New
5
540Federal Health Data
Remote within the continental United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3-10+ years
- Required Skills
- AWSCloud ComputingGitMicrosoft AzureData modelingDatabricks
Requirements
- 3-10+ years of experience in solutions architecture, data architecture, software engineering, platform engineering, data engineering, or a related technical field.
- Experience contributing to enterprise data platforms, distributed systems, or complex solutions involving data ingestion, transformation, storage, and APIs.
- Experience working in cloud or hybrid-cloud environments.
- Experience integrating data or applications across modern and legacy systems.
- Working knowledge of data modeling, metadata, lineage, data quality, or data governance principles.
- Ability to account for security, availability, performance, scalability, reliability, and operational support needs in designs.
- Experience creating architecture diagrams, interface designs, technical documentation, or implementation roadmaps.
- Experience collaborating with engineers and technical leaders to implement complex solution designs.
- Familiarity with modern software engineering practices, development lifecycles, and Git-based workflows.
- Strong communication skills for technical and nontechnical audiences.
- Ability to navigate ambiguity and drive work toward resolution.
- Bachelor’s Degree in Computer Science, Engineering, or a related technical field (preferred).
Responsibilities
- Design scalable solutions for a modern federal health data platform spanning cloud, on-premises, and government-hosted environments.
- Translate mission, business, data, security, and operational requirements into clear technical designs.
- Contribute to current-state and target-state architectures to guide incremental modernization of legacy systems.
- Design and document approaches for integrating data across DoW and federal health systems using APIs, pipelines, and reusable data products.
- Apply established reference architectures, integration patterns, and technical standards.
- Evaluate technical options regarding security, scalability, performance, reliability, and cost.
- Support the effective use of Databricks and cloud services across AWS, Azure, Oracle Cloud, and hybrid infrastructure.
- Participate in technical discovery and architecture discussions with engineers and stakeholders.
- Develop and maintain architecture diagrams, interface definitions, design documentation, and technical roadmaps.
- Collaborate with Data Engineers and Technical Leads to resolve technical challenges and maintain implementation alignment.
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