
Senior Solution Architect
Posted Sep 18

Posted Sep 18
This is a fully remote position, open to applicants in United States.
• Define 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 needs into technical designs and implementation strategies.
• Develop both current-state and target-state architectures to facilitate the incremental modernization of legacy data systems.
• Create integration strategies across 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 alternatives based on security, scalability, performance, reliability, maintainability, cost, and delivery risk.
• Guide the use of Databricks and cloud services across AWS, Azure, Oracle Cloud, and hybrid infrastructure.
• Account for data quality, governance, metadata, lineage, access, and lifecycle needs.
• Lead technical discovery and architectural 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 designs and resolve intricate technical challenges.
• Identify dependencies, constraints, and risks, driving resolution across teams.
• Communicate architectural decisions, trade-offs, and recommendations to both technical and non-technical audiences.
• Advocate for reusable patterns, lessons learned, and technical guidance throughout the shared data platform ecosystem.
• Master’s degree in Computer Science, Information Systems, Software Engineering, or a related discipline.
• Over 10 years of experience in solutions architecture, data architecture, software architecture, platform engineering, data engineering, or a corresponding 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.
• Expertise in architecting platforms that support very large or highly complex datasets.
• Experience in integrating modern platforms with legacy systems and developing incremental modernization strategies.
• Comprehensive understanding of API design, system integration patterns, and data exchange methodologies.
• Experience in architecting solutions on AWS, with familiarity with Microsoft Azure or Oracle Cloud.
• Working knowledge of data modeling, metadata, lineage, data quality, and principles of data governance.
• Ability to incorporate 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.
• Experience in guiding engineering teams through the 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 to 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.
• Competitive base salary.
• Opportunities for variable compensation.
• Health insurance.
• Flexible spending accounts.
• Health savings accounts.
• Retirement savings plans.
• Life insurance.
• Disability insurance.
• Paid and unpaid time off.
• Industry-leading 401k contributions.
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