What is a Solutions Architect at Availity?

The Solutions Architect at Availity plays a pivotal role in shaping the technical landscape of healthcare solutions. This position is crucial as it involves designing and implementing complex data architectures that directly support client onboarding and information exchange. With a client-facing focus, you will serve as a trusted advisor, translating intricate business needs into scalable, secure, and cloud-native data solutions that enhance patient care and streamline operations.

As a Solutions Architect, your work will impact millions of users and contribute to Availity's mission of transforming healthcare engagement. You will engage with diverse teams and clients, ensuring that our technology not only meets current demands but also anticipates future challenges in the healthcare sector. The role offers a unique blend of technical depth and strategic influence, making it a critical position within the organization that promotes innovative solutions and exceptional user experiences.

In a dynamic environment where over 2 million providers are connected and billions of transactions are processed annually, the Solutions Architect is at the forefront of Availity’s commitment to reshaping the healthcare landscape. Expect to be involved in exciting projects that push the boundaries of technology while delivering real-world benefits to healthcare professionals and their patients.

Common Interview Questions

Expect a range of questions during your interviews, representative of the type of inquiries you may encounter across various teams. These questions aim to illustrate common patterns in the evaluation process rather than provide a memorization list.

Technical / Domain Questions

This category assesses your technical expertise and understanding of data architecture within the healthcare domain.

• Describe your experience with cross-model data mapping.
• What are the key considerations when architecting a data solution on AWS?
• How do you ensure data integrity during client onboarding?
• Explain the importance of FHIR and HL7 standards in healthcare interoperability.
• What challenges have you faced when implementing complex data architectures?

System Design / Architecture

Here, you’ll demonstrate your ability to design robust data architectures.

• How would you approach designing a scalable data architecture for a new client?
• Can you walk us through a recent project where you implemented a cloud-native solution?
• What factors do you consider when developing source-to-target mappings?
• Describe a time when you had to redesign an existing architecture. What was your approach?
• How do you ensure that your designs align with governance best practices?

Behavioral / Leadership

This section evaluates your interpersonal skills and ability to lead technical discussions.

• Describe a situation where you had to manage conflicting stakeholder interests.
• How do you approach mentoring junior team members?
• Give an example of how you handled a difficult client engagement.
• How do you prioritize tasks when managing multiple projects?
• What is your approach to fostering collaboration within your team?

Problem-Solving / Case Studies

Interviewers will want to see how you approach complex problems.

• Present a case where data quality issues impacted a project. How did you resolve it?
• Describe how you would handle a situation where a client’s requirements change post-implementation.
• What steps would you take if a data solution you implemented was not performing as expected?
• How do you approach troubleshooting data integration issues?
• Provide an example of a complex problem you solved using data analytics.

Coding / Algorithms

While not the primary focus, some technical questions may assess your programming skills.

• Write a SQL query to extract data from multiple tables with specific conditions.
• Explain the difference between SQL and NoSQL databases and when to use each.
• How would you optimize a slow-running query?
• Describe a scenario where you used big data technologies like Spark to solve a problem.
• What is your experience with API integrations, and how have you implemented them in the past?

Getting Ready for Your Interviews

Preparation is key to succeeding in your interviews. Focus on understanding not just the technical aspects of the Solutions Architect role, but also how to communicate your experience effectively.

Role-related knowledge – This criterion evaluates your technical skills and understanding of data architecture and healthcare systems. Demonstrate your expertise in specific technologies like AWS, SQL, and data modeling.

Problem-solving ability – Expect to showcase your analytical and problem-solving skills through real-world examples. Prepare to discuss your thought process in tackling complex challenges.

Leadership – As a Solutions Architect, your ability to influence discussions and lead initiatives is crucial. Illustrate your experience in guiding teams and engaging with clients effectively.

Culture fit / values – Availity values collaboration and innovation. Be prepared to align your responses with the company’s mission and culture, demonstrating your adaptability and teamwork.

Interview Process Overview

The interview process for a Solutions Architect at Availity is structured to assess both technical expertise and interpersonal skills. Typically, candidates can expect an initial screening interview followed by technical assessments and final interviews with key stakeholders. The focus will be on your ability to communicate complex ideas clearly and your aptitude for problem-solving.

During the interviews, expect a mix of technical and behavioral questions that reflect Availity’s emphasis on client engagement and innovation. The interviews are designed to evaluate not only your technical capabilities but also your cultural fit within the organization.

The visual timeline outlines the stages of the interview process, including initial screenings and final assessments. Use this as a roadmap for your preparation, ensuring you allocate sufficient time to each stage and manage your energy accordingly.

Deep Dive into Evaluation Areas

Technical Expertise

Technical expertise is fundamental for the Solutions Architect role. Interviewers will assess your proficiency in data modeling, cloud services, and healthcare interoperability standards. Strong candidates will demonstrate a deep understanding of data architectures and their applications in real-world scenarios.

• AWS Services – Be ready to discuss your hands-on experience with various AWS services, including data platforms and analytics tools.
• Data Modeling – Understand how to create and maintain effective data models across different systems.
• Interoperability Standards – Familiarity with standards such as FHIR and HL7 is essential, so be prepared to explain their relevance in healthcare.

Communication Skills

Your ability to communicate complex concepts is critical. Interviewers will evaluate how well you articulate your ideas, especially to non-technical stakeholders.

• Client Engagement – Prepare to discuss how you tailor your communication to different audiences.
• Presentation Skills – Expect to present technical designs and implementation strategies during your interviews.
• Workshop Facilitation – Highlight any experience leading client workshops or discovery sessions.

Problem-Solving Abilities

Demonstrating strong problem-solving skills is vital in this role. Be prepared to tackle hypothetical scenarios and explain your approach to solving complex issues.

• Analytical Thinking – Showcase your analytical skills by discussing specific examples of how you approached and resolved challenges.
• Decision-Making – Explain your decision-making process when faced with multiple design options or trade-offs.
• Adaptability – Be ready to share experiences where you adapted your strategies in response to changing requirements.

Advanced Concepts

While not always covered, familiarity with more advanced concepts can set you apart as a candidate.

• AI/ML Platforms – Discuss any experience with AI/ML solutions and how they can be integrated into data architectures.
• Big Data Technologies – Be prepared to explain your experience with technologies like Spark and their applications.
• API Integration – Provide insights into how you have implemented RESTful APIs in past projects.