Solution Architect

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Develop scalable solution architectures for a contemporary federal health data platform that encompasses cloud, on-premises, and government-hosted environments.

• Convert mission, business, data, security, and operational requirements into technical designs and implementation strategies.

• Create current-state and target-state architectures for the gradual modernization of legacy data systems and capabilities.

• Design integration strategies across varied defense and federal systems, including APIs, pipelines, shared services, and reusable data products.

• Establish reference architectures, integration patterns, technical standards, and architectural guidelines.

• Assess architectural options based on security, scalability, performance, reliability, maintainability, cost, and delivery risk.

• Advise on the effective utilization of Databricks and cloud services across AWS, Azure, Oracle Cloud, and hybrid infrastructures.

• Consider 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.

• Collaborate with Data Engineers and Technical Leads to review solution designs and address complex technical challenges.

• Identify architectural dependencies, constraints, and risks and facilitate their resolution.

• Communicate architectural decisions, trade-offs, and recommendations to both technical and non-technical audiences.

• Advocate for reusable patterns, lessons learned, and technical guidance across teams to enhance the shared data platform ecosystem.

⛳️ Requirements

• Active Secret clearance.

• Master’s degree in Computer Science, Information Systems, Software Engineering, or a related field.

• Over 10 years of experience in solutions architecture, data architecture, software architecture, platform engineering, data engineering, or a related technical field.

• Proven experience in designing complex enterprise data platforms or distributed solutions that span multiple systems, applications, data sources, and organizational boundaries.

• Strong grasp of modern data platform concepts, including data ingestion, integration, transformation, storage, access, APIs, and data products.

• Experience in designing hybrid solutions that encompass public cloud, on-premises infrastructure, and government data centers.

• Proficiency in architecting platforms that support very large or highly complex datasets.

• Experience in integrating modern platforms with legacy systems and formulating incremental modernization strategies.

• Strong knowledge of API design, system integration patterns, and data exchange methodologies.

• Experience in architecting solutions on AWS, along with familiarity with Microsoft Azure or Oracle Cloud.

• Working knowledge of data modeling, metadata, lineage, data quality, and data governance principles.

• Ability to integrate security, availability, performance, scalability, reliability, maintainability, and operational support requirements into technical designs.

• Experience in evaluating technology options and documenting architecture diagrams, reference architectures, interface designs, technical roadmaps, and key technical decisions.

• Proven ability to guide engineering teams through the implementation of intricate technical designs.

• Strong understanding of modern software engineering practices, development lifecycles, and Git-based workflows.

• Excellent client-facing communication and facilitation skills.

• Ability to translate mission and business needs into actionable technical direction.

• Capability to independently navigate ambiguity, identify cross-cutting technical risks, and drive complex architectural decisions towards 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 considering applicable federal AI guidance.

🏝️ Benefits

• 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.