1. What is a Solutions Architect at Cohere?

At Cohere, the Solutions Architect (often aligned with Data Architecture leadership) is a pivotal role that bridges the gap between complex healthcare requirements and cutting-edge technology. You are not just building systems; you are defining the blueprint for how patient data is ingested, transformed, and utilized to improve clinical outcomes. This role sits at the intersection of technical strategy, regulatory compliance, and product innovation.

You will be responsible for designing enterprise-grade data platforms that are cloud-native and AI-enabled. Because Cohere operates in the highly regulated healthcare space, your work directly impacts our ability to maintain interoperability and security standards while scaling rapidly. You will guide product teams, mentor engineers, and ensure our architecture is robust enough to handle high-volume data systems without compromising on reliability.

This position offers a unique opportunity to shape the technical vision of a company transforming the prior authorization and patient journey landscape. You will work with a modern data stack—spanning AWS, Airflow, and dbt—and tackle challenges related to interoperability frameworks like FHIR and HL7. If you are a visionary architect who thrives on solving "impossible" data problems in a regulated environment, this role is designed for you.

2. Getting Ready for Your Interviews

Preparing for an interview at Cohere requires a shift in mindset. You need to demonstrate not only technical depth but also the ability to lead conversations and structure ambiguity. The team looks for candidates who can take ownership of the interview process, acting as consultants rather than just test-takers.

Key Evaluation Criteria:

• Architectural Vision – You must demonstrate the ability to design scalable, long-term solutions. Interviewers assess whether you can look beyond immediate ticket requests to build compliance-first roadmaps that serve the business for years to come.
• Healthcare Domain Expertise – In this specific architecture role, knowledge of HIPAA, FHIR, and HL7 is critical. You will be evaluated on your ability to embed these regulatory standards into the very foundation of your platform designs.
• Technical Proficiency – Expect deep dives into the modern data stack. You need to show mastery over AWS data services (S3, Glue, Redshift), workflow orchestration, and data modeling (SQL/NoSQL) to prove you can execute on your high-level designs.
• Communication & Leadership – As a senior member of the architecture organization, you are expected to mentor engineers and communicate complex data strategies to cross-functional stakeholders. Interviewers look for clarity, influence, and the ability to work across time zones.

3. Interview Process Overview

The interview process for the Solutions Architect role at Cohere can be fluid. Based on candidate feedback, the process may sometimes feel less structured than at large legacy corporations. This is a feature of a fast-moving growth environment. You should expect a process that prioritizes conversation and problem-solving over rigid, scripted testing. You may encounter interviewers who are deeply technical but perhaps newer to interviewing; use this as an opportunity to drive the discussion and highlight your expertise proactively.

Typically, the process begins with a recruiter screen to align on pay bands and background. This is followed by a series of technical deep dives and behavioral rounds. You will likely meet with engineering leads, product managers, and potentially other architects. The discussions will oscillate between high-level system design and specific data engineering challenges. Because the team is growing, you might face scenarios where you need to explain "why" a certain architecture is necessary to someone who might be overwhelmed with current operational tasks.

The timeline above represents the typical flow, but be prepared for variations. The "Technical Deep Dive" and "System Design" stages often blend together, requiring you to sketch out architectures while simultaneously defending your technology choices. Use the visual to plan your energy; the middle stages are the most cognitively demanding.

4. Deep Dive into Evaluation Areas

To succeed, you must focus your preparation on the specific intersections of data engineering, architecture, and healthcare compliance. The following areas are heavily weighted in Cohere’s evaluation process.

Healthcare Data Ecosystems & Compliance

This is the differentiator for this role. You must prove you understand the constraints of the healthcare industry. It is not enough to design a fast database; you must design a compliant one.

Be ready to go over:

• Interoperability Standards – Deep knowledge of FHIR (Fast Healthcare Interoperability Resources) and HL7.
• Regulatory Security – Designing architectures that are HIPAA compliant by default.
• Data Governance – Strategies for managing patient consent, data lineage, and audit trails.

Example questions or scenarios:

• "How would you architect a data lake that ingests HL7 messages and converts them to FHIR resources in real-time?"
• "Describe your approach to handling PII/PHI in a cloud-native environment. How do you ensure encryption at rest and in transit?"

Modern Data Stack Architecture

Cohere relies on a specific set of tools. You need to demonstrate "broad command" of these technologies, moving beyond theory into practical implementation details.

Be ready to go over:

• AWS Data Services – Specifics on S3, Glue, Athena, and Redshift. Know when to use which service.
• Orchestration & Transformation – Experience with Airflow for workflow management and dbt for transformations.
• Performance Optimization – Tuning Redshift clusters, optimizing Glue jobs, and managing cost at scale.

Example questions or scenarios:

• "We have a bottleneck in our nightly ETL pipeline using Airflow and dbt. How would you debug and optimize this?"
• "Compare Redshift vs. Snowflake for our specific healthcare use case. Why would you choose one over the other given our AWS ecosystem?"

Data Modeling & Database Design

You will be expected to drive data modeling standards. This involves reviewing designs from other teams and ensuring they are robust.

Be ready to go over:

• Schema Design – Star schema vs. Snowflake schema, and data vault modeling.
• SQL vs. NoSQL – Choosing the right database engine for high-volume transactional systems versus analytical workloads.
• Indexing & Partitioning – Technical techniques for ensuring query performance on large datasets.

Example questions or scenarios:

• "Design a schema for a patient longitudinal record that needs to be accessed by both an AI model and a clinical dashboard."
• "How do you handle schema evolution in a production environment without downtime?"

5. Key Responsibilities

As a Solutions Architect at Cohere, your day-to-day work is a mix of high-level strategy and hands-on technical guidance. You are responsible for developing a compliance-first architecture roadmap. This means you aren't just reacting to feature requests; you are proactively defining how the platform evolves to meet future regulatory and scale demands.

Collaboration is central to this role. You will work cross-functionally with product teams to ensure their solutions align with governance standards. You will also spend significant time on data modeling and design reviews, acting as the gatekeeper for quality. If a proposed design isn't scalable or secure, it is your job to catch it and guide the team toward a better solution.

Furthermore, leadership is a key component. You are expected to mentor engineers on optimization techniques and best practices. You will drive the adoption of new technologies and standards, ensuring the team remains at the cutting edge of the modern data stack. You will be working in a remote-first environment, often coordinating across different time zones to keep projects moving forward.

6. Role Requirements & Qualifications

Cohere is looking for a seasoned professional who can hit the ground running. The requirements are specific, and meeting the technical bar is essential.

• Must-have Experience:

  • 8+ years of progressive experience in data architecture, data engineering, or platform architecture.
  • Deep expertise in the AWS ecosystem (Redshift, Glue, Athena, S3).
  • Strong command of SQL and NoSQL data modeling and performance tuning.
  • Proven experience with healthcare standards (HIPAA, FHIR, HL7).

• Technical Toolkit:

  • Orchestration: Apache Airflow.
  • Transformation: dbt (data build tool).
  • Languages: Proficiency in SQL and typically Python (for Airflow/scripting).

• Soft Skills & Leadership:

  • Ability to work cross-functionally and influence without direct authority.
  • Experience mentoring junior and mid-level engineers.
  • Strong written and verbal communication skills, essential for a fully remote role.

7. Common Interview Questions

The following questions are representative of what you might face. They are drawn from candidate data and the specific technical requirements of the role. Note that because the process can be unstructured, you might receive broad, open-ended prompts rather than specific textbook questions.

Architecture & System Design

• "Design a system to ingest real-time claims data, sanitize it, and make it available for an AI prediction model. What AWS services do you use?"
• "How would you architect a multi-tenant data platform that ensures strict data isolation between different healthcare providers?"
• "Draw out the architecture for a FHIR-based interoperability layer. How do you handle authentication and rate limiting?"
• "We need to migrate 50TB of patient data from an on-premise legacy SQL server to AWS Redshift. Walk me through your migration strategy."

Data Engineering & Technical Skills

• "Explain how you would structure a dbt project for a complex healthcare organization with multiple business units."
• "What are the limitations of AWS Glue? When would you choose EMR over Glue?"
• "Write a SQL query to identify patients who have had more than three readmissions in the last 30 days."
• "How do you handle backfilling data in Airflow without disrupting current operations?"

Behavioral & Leadership

• "Tell me about a time you disagreed with a Product Manager about a technical roadmap item. How did you resolve it?"
• "Describe a situation where you had to mentor an engineer who was struggling with data modeling concepts."
• "How do you handle ambiguity when the requirements for a project are not fully defined?"

8. Frequently Asked Questions

Q: Is this role fully remote? Yes. The position is listed as a fully remote opportunity within the United States. However, it may require about 5% travel for critical team on-sites or planning sessions.

Q: What is the biggest challenge in this role? The primary challenge is balancing speed of innovation with strict regulatory compliance. You must build systems that allow the product team to move fast while ensuring zero compromise on HIPAA or security standards.

Q: How technical is the interview process? Expect it to be quite technical. While there is a "Solutions" aspect, the role requires "Lead Data Architect" capabilities. You will be expected to know the internals of AWS services and data modeling, not just high-level diagrams.

Q: What if the interviewer seems inexperienced or the process feels disorganized? Some candidates have reported a lack of structure in the hiring process. If you encounter this, take the lead. Proactively explain your thought process, ask clarifying questions, and structure your answers clearly. Show them you can bring order to chaos—a key skill for the job itself.

9. Other General Tips

• Be the Expert: In a fast-growing environment, interviewers might be looking for someone to tell them the right way to do things. Don't be afraid to offer strong, well-reasoned opinions on architecture.
• Focus on "Why": When choosing a technology (e.g., "I used Kafka here"), always explain the trade-offs. Why Kafka and not Kinesis? Why Redshift and not Snowflake? This justification is what architects are paid for.
• Know the Acronyms: Ensure you are fluent in healthcare terminology (Payer, Provider, Prior Auth, CPT codes, FHIR resources). Using the correct domain language builds immediate trust.
• Prepare for Ambiguity: You may be given a very vague problem statement. This is a test. Your first step should always be to gather requirements and define the scope before you start designing.

10. Summary & Next Steps

The Solutions Architect role at Cohere is a high-impact position for a technologist who cares about fixing the healthcare system. You will be tasked with building the data backbone that powers AI-driven decisions, directly improving patient care. This is a role for a builder who enjoys the challenge of strict constraints (compliance) and high scale.

To prepare, focus heavily on your AWS data stack knowledge, your understanding of healthcare interoperability standards, and your ability to communicate complex technical strategies. Review your past projects and be ready to draw diagrams that explain your architectural choices. If you can demonstrate that you are a steady hand who can design reliable, compliant systems amidst a fast-paced environment, you will be a standout candidate.

The salary range for this position is typically between $155,000 and $175,000 USD. This base salary is often complemented by a comprehensive benefits package, including 401K matching and equity options. Candidates should view this range as a baseline and be prepared to discuss how their specific experience—particularly in niche areas like FHIR or high-scale AWS implementations—adds value within this band.

Good luck with your preparation. Explore more insights on Dataford to stay ahead of the curve. You have the skills to define the future of healthcare data—go show them what you can do.