This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Solutions Architect based in the United States.
This is an entry-level opportunity to contribute to a mission-critical federal health data modernization initiative.
You’ll work alongside architects, engineers, technical leads, and customer stakeholders to design and support modern technology solutions.
The role provides exposure to cloud, on-premises, data, APIs, integration patterns, and enterprise architecture across complex environments.
You’ll help translate mission needs into technical requirements, documentation, diagrams, and practical solution designs.
This position is well suited to an early-career professional eager to build broad technical expertise while learning from experienced technology leaders.
You’ll also engage with customers and multidisciplinary teams, developing the communication and problem-solving skills needed for a successful architecture career.
The work directly supports secure, scalable technology capabilities within the federal health ecosystem.
Accountabilities:
- Support the design and development of data and technology solutions across cloud, on-premises, and government-hosted environments.
- Collaborate with architects and engineers to understand mission requirements and translate them into clear technical requirements and solution designs.
- Document existing systems, data flows, integrations, constraints, dependencies, and opportunities for modernization.
- Create and maintain architecture diagrams, interface documentation, technical decision records, and other solution materials.
- Research technologies, architecture approaches, and technical solutions, summarizing their benefits, risks, limitations, and tradeoffs.
- Learn and apply established reference architectures, integration patterns, technical standards, and engineering practices.
- Participate in technical discovery sessions, architecture discussions, demonstrations, and customer meetings.
- Work closely with data engineers and technical leads to address technical questions and ensure implementation remains aligned with solution designs.
- Communicate technical concepts, recommendations, questions, and project progress clearly to both technical and nontechnical stakeholders.
- Build trusted relationships with customers and internal teams by demonstrating curiosity, reliability, professionalism, and a strong commitment to mission outcomes.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or another related technical discipline.
- 0–3 years of relevant professional experience, including experience gained through internships, academic projects, research, military service, or personal technical projects.
- Foundational understanding of software, data, cloud, systems, or application architecture concepts.
- Strong written and verbal communication skills, including the ability to explain technical concepts clearly and ask thoughtful questions.
- Demonstrated ability and willingness to learn new technologies, tools, technical domains, and concepts.
- Strong analytical and problem-solving abilities with careful attention to detail.
- Ability to organize complex technical information and produce clear, accurate documentation.
- Ability to collaborate effectively within multidisciplinary teams, receive feedback, and contribute constructively.
- Self-motivated approach to investigating unfamiliar problems, seeking guidance when appropriate, and following assignments through to completion.
- Professional communication skills and the ability to operate effectively in customer-facing environments with evolving requirements and priorities.
- Familiarity with Python, SQL, Java, or another programming language is a plus.
- Exposure to AWS, Microsoft Azure, Oracle Cloud, or other cloud platforms is advantageous.
- Knowledge of APIs, databases, data pipelines, data modeling, or distributed systems is beneficial.
- Exposure to Databricks, Apache Spark, Tableau, Git, or comparable technologies is a plus.
- Interest in federal technology modernization, defense health, secure data environments, or regulated technology is desirable.
- Exposure to AI/ML concepts or LLM-based tools is advantageous.
- U.S. Citizenship is required due to client requirements.
- An active DoW Secret clearance or higher is required.
- Ability to work remotely within the continental United States, with periodic travel as required.
Benefits:
- Fully remote position within the continental United States.
- Flexible paid time off.
- All federal holidays off.
- Health, dental, and vision insurance plans.
- Flexible Spending Account (FSA).
- 401(k) plan with employer match.
- Company-sponsored life insurance.
- Short- and long-term disability coverage.
- Professional development opportunities, including training, certifications, and conferences.
- Paid cloud developer accounts.
- Employee referral bonuses.
- Access to office-related perks, including parking or metro reimbursement, coffee, and lunches where applicable.
- Annual company events, including social, technical, and community-focused activities.
- Access to professional and sporting event tickets.
- Opportunity to develop broad expertise across cloud architecture, data platforms, cybersecurity, integration, and enterprise technology.
- Opportunity to contribute to an important federal health modernization mission while working alongside experienced technical professionals.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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