Aiven Solutions Architect interview questions & guide 2026

Our interview process is designed to evaluate both your technical depth and your ability to navigate the complexities of a customer-facing role. The following questions are representative of the patterns you will encounter.

ML System Design

• Focuses on your ability to design robust data architectures while accounting for specific latency and throughput requirements.
  • How would you design a real-time feature store using Aiven services to support a high-concurrency ML model?
  • How do you balance the cost of data retention against the latency requirements of an inference pipeline?

Preparation for the Solutions Architect role should focus on your ability to articulate the "why" behind your technical decisions. We value clarity, technical rigor, and a customer-centric mindset.

Technical Competency – We look for a deep understanding of distributed systems and data infrastructure. You should be prepared to discuss the internal mechanics of services like Kafka or PostgreSQL and how they behave under load.

Architectural Communication – You must be able to explain complex systems to diverse audiences. Practice simplifying technical concepts for executives without losing the nuance required for engineering teams.

Customer Empathy – The Solutions Architect role is inherently consultative. Use your customer scenario role-play to demonstrate that you are listening to the business problem before jumping to a technical solution.

Problem-Solving Process – When presented with a design challenge, structure your answer by defining the constraints first. Always address cost/latency constraints early, as this is a core part of the Aiven value proposition.

The interview process at Aiven is structured to be transparent and efficient. We believe in assessing your skills through practical applications rather than abstract theory. The process typically begins with a screening call to align on your background and interest in the role, followed by a technical deep dive with the Solutions Architect leadership team.

The centerpiece of our process is a technical assignment where you demonstrate your ability to use the Aiven platform in a real-world context. This is followed by a panel presentation where you walk us through your implementation. We conclude with a behavioral round to ensure a strong cultural alignment. This process is designed to be a two-way street; we want to see how you work, and we want you to see how we collaborate.

The visual timeline above maps out the typical progression from your initial screening to the final panel evaluation. Use this to pace your preparation, ensuring you have enough time to complete your technical assignment thoroughly before the final review.

Architectural Design

• We evaluate your ability to create scalable, resilient solutions. Strong candidates don't just pick the "best" tool; they pick the right tool for the specific constraints provided.
  • System design – Focus on trade-offs between consistency, availability, and partition tolerance.
  • Capacity planning – Demonstrate how you calculate growth and resource needs over time.
  • Trade-off analysis – Be ready to defend why you chose one architecture over another, especially regarding cost.

As a Solutions Architect, you will spend your time designing data architectures, supporting the sales process with technical expertise, and acting as a trusted advisor to our customers. You will work closely with our engineering teams to relay customer feedback and help shape our product roadmap.

You will lead technical workshops, build proof-of-concept demonstrations, and assist customers in migrating their workloads to Aiven. Your day-to-day will involve balancing multiple customer projects, ensuring each receives the necessary architectural rigor, and maintaining a high standard of documentation for your designs.

We look for candidates who are comfortable with the challenges of distributed data systems and have a track record of customer-facing success.

• Must-have skills – Proficiency in at least one major cloud provider (AWS, GCP, or Azure), strong knowledge of database internals, and experience with infrastructure-as-code tools like Terraform.
• Experience level – Typically, we look for several years of experience in a customer-facing technical role or a senior engineering role involving significant infrastructure management.
• Soft skills – Excellent presentation skills, the ability to thrive in a remote-first culture, and a proactive approach to learning new open-source technologies.
• Nice-to-have skills – Experience with Kubernetes, advanced data engineering certifications, or a history of contributing to open-source projects.

Q: How long does the interview process typically take? The process is designed to be efficient, usually spanning 3 to 5 weeks depending on scheduling. We prioritize keeping the momentum high.

Q: Is the coding portion on a whiteboard or a real environment? We prefer practical, real-world tasks. You will be using your own development environment for the take-home assignment, which we then review together.

Q: What is the most common reason candidates don't pass? Candidates often struggle when they focus too much on the "how" and ignore the "why." Always lead with the business problem and the constraints before diving into the implementation details.

Q: How much focus is there on Aiven-specific tools? We expect you to understand the ecosystem, but we value your fundamental knowledge of open-source technologies like Kafka and PostgreSQL more. We can teach you the platform; we need you to bring the architectural expertise.

• Own your assignment: When presenting your demo, treat the panel as your customer. Be prepared to explain why you chose a specific configuration over others.
• Master the trade-offs: There is rarely a perfect architecture. The best candidates are the ones who can clearly articulate the limitations of their chosen design.
• Prepare for the STAR method: In your final behavioral round, structure your stories using the Situation, Task, Action, and Result format to ensure your answers are concise and impactful.
• Be curious: We love candidates who ask deep questions about our engineering culture and the future of open-source data.

The Solutions Architect position at Aiven is a pivotal role that sits at the intersection of innovation and customer success. By mastering the art of architectural design, clear communication, and strategic problem-solving, you will be well-positioned to drive significant value for our users. We encourage you to focus your energy on understanding how to balance technical constraints with business objectives, as this is the hallmark of a successful architect here.

You can explore additional interview insights, practice questions, and preparation resources on Dataford. We are excited to see your unique perspective and technical expertise in action throughout the process.

The compensation data provided reflects the total target cash range for this position. This typically includes a base salary and may include variable components or equity, depending on the seniority and specific team requirements of the role. Use this range to calibrate your expectations during the negotiation phase.