What is a Solutions Architect at Adswerve?
As a Solutions Architect at Adswerve, you are stepping into a pivotal, highly visible role at an award-winning data, media, and tech consultancy. Adswerve partners with over 800 clients to unlock growth through advanced digital marketing and analytics, and this role is the technical linchpin of that mission. You will serve as the primary strategic guide for enterprise clients, translating their complex business goals into scalable, high-performance architectures.
In this position, your primary focus will be the Adobe Experience Cloud ecosystem, specifically mastering the Adobe Experience Platform (AEP), Real-Time CDP (RTCDP), and Adobe Journey Optimizer (AJO). You are not just building pipelines; you are designing the foundational data models and identity strategies that enable high-impact, real-time personalization across global brands. Your work directly dictates how effectively clients can harness their data to drive ROI, making your architectural decisions critical to their success.
What makes this role uniquely challenging and exciting is the blend of deep technical rigor and high-level strategic consulting. You will seamlessly transition from leading presales discovery sessions with marketing executives to debating the nuances of XDM-based data models and streaming ingestion pipelines with data engineers. If you thrive on solving ambiguous, large-scale data challenges and love seeing your architectures directly power transformative customer experiences, this role at Adswerve is built for you.
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Problem At Stripe, a service stores event sequences as singly linked lists. Write a function that reverses a singly linked list and returns the new head. ...
Explain how SQL and NoSQL databases differ in schema, consistency, scaling, and query patterns.
Design an idempotent payment API and ETL pipeline that prevents duplicate charges during retries while publishing exactly-once payment events downstream.
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Getting Ready for Your Interviews
Preparing for the Solutions Architect interview at Adswerve requires a balanced approach, blending deep technical platform knowledge with polished client-facing consulting skills. You should be ready to demonstrate not just how to build a system, but why it matters to the client's bottom line.
Focus your preparation on the following key evaluation criteria:
- Platform & Technical Mastery – Your interviewers will probe your hands-on expertise with Adobe Experience Platform (AEP), RTCDP, and modern cloud data platforms. You must demonstrate a strong command of XDM schema design, identity resolution, and data ingestion methods (batch, streaming, API).
- Consulting & Presales Acumen – As a lead architect on client engagements, you are evaluated on your ability to lead discovery sessions, scope technical requirements, and articulate complex solutions to non-technical stakeholders. Strong candidates will show they can confidently guide prospective clients during the presale process.
- System Design & Architecture – You will be tested on your ability to design end-to-end data pipelines and identity graphs. Interviewers want to see how you align architecture with enterprise data governance, privacy policies, and scalability requirements.
- Collaboration & Leadership – Adswerve values cross-functional teamwork. You must show how you effectively partner with data engineers, product teams, and analytics teams to deliver reliable solutions while overseeing system health and mentoring engineers.
Interview Process Overview
The interview process for a Solutions Architect at Adswerve is designed to evaluate both your technical depth and your consulting finesse. You can expect a rigorous but conversational process that mirrors the day-to-day realities of working in a fast-paced agency environment. The focus is heavily on practical experience, architecture design, and stakeholder management rather than theoretical whiteboarding.
Typically, the process begins with an initial recruiter screen to align on your background, compensation expectations, and high-level platform experience. This is followed by a hiring manager interview that dives into your past client engagements, your approach to problem-solving, and your familiarity with the Adobe Experience Cloud ecosystem. The core of the evaluation is a comprehensive technical and architectural deep-dive, which often includes a scenario-based presentation or case study where you must design a solution for a hypothetical client, explaining your choices regarding data ingestion, identity stitching, and activation.
Finally, you will meet with cross-functional team members—such as data engineers or analytics leads—to assess your collaborative style, culture fit, and ability to navigate the nuances of a remote-first, team-oriented environment.
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This visual timeline outlines the typical stages of the Adswerve interview loop, from the initial screen to the final cross-functional rounds. Use this to pace your preparation, ensuring you are ready to pivot from behavioral and presales discussions early in the process to deep technical architecture presentations in the later stages. Keep in mind that as a remote-first company, all stages will be conducted virtually, so optimizing your remote presentation setup is essential.
Deep Dive into Evaluation Areas
Adobe Experience Platform & Ecosystem Architecture
Because this role sits on the Digital Experience team, your mastery of the Adobe ecosystem is the most critical technical requirement. Interviewers will expect you to be the definitive expert on platform architecture, governance, and best practices. Strong performance means you can discuss the nuances of these platforms without hesitation and explain how they interact to drive customer journeys.
Be ready to go over:
- Adobe Experience Platform (AEP) – Core architecture, user roles, permissions, and system health management.
- Real-Time CDP (RTCDP) – Audience segmentation, real-time activation, and aligning architecture with enterprise governance.
- Adobe Journey Optimizer (AJO) & Customer Journey Analytics (CJA) – Orchestration, downstream destinations, and advanced measurement.
- Data Collection – Implementing solutions using Adobe Tags, Web SDK, Edge Network, and source connectors.
Example questions or scenarios:
- "Walk me through how you would design an end-to-end data ingestion strategy using Adobe Web SDK and Edge Network for a retail client."
- "How do you approach managing user roles and permissions in AEP to ensure strict access controls and privacy compliance?"
- "Describe a time you had to troubleshoot a failing audience activation pipeline in RTCDP. Where did you look first?"
Data Modeling & Identity Resolution
A core responsibility of this role is bridging upstream data systems with actionable marketing profiles. You will be heavily evaluated on your ability to design scalable data models and identity strategies that power high-impact personalization. A strong candidate will demonstrate a deep understanding of event-based modeling and how to resolve fragmented customer identities across multiple touchpoints.
Be ready to go over:
- XDM-based Data Models – Schema design, field mapping, profile enablement, and adhering to Adobe best practices.
- Identity Resolution Strategies – Configuring identity namespaces, identity graphs, and merge policies in RTCDP.
- Federated Audience Composition (FAC) – Architecting federated data access patterns for cross-system audience building.
- Validation & Accuracy – Testing audience segmentation, ingestion mappings, and identity stitching for scalability.
Example questions or scenarios:
- "How do you determine the appropriate merge policies when designing an identity graph for a client with multiple conflicting data sources?"
- "Explain your process for defining and maintaining an XDM schema for a highly customized enterprise data model."
- "What are the key considerations when architecting for Federated Audience Composition (FAC)?"
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Data Engineering & Pipeline Integration
While you are an architect, you must speak the language of data engineers. Adswerve expects you to understand the mechanics of moving and transforming data across modern cloud platforms. You will be evaluated on your familiarity with SQL, ETL/ELT workflows, and integration patterns. Strong candidates will seamlessly connect upstream data warehouses with downstream activation platforms.
Be ready to go over:
- Ingestion Pipelines – Planning and overseeing batch, streaming, SDK, and API-based integrations.
- Modern Cloud Platforms – Familiarity with Snowflake, AWS, GCP, and Azure architectures.
- ETL/ELT Tools – Experience with tools like dbt, Fivetran, and Airflow for data transformation.
- Scripting & Querying – Proficiency in SQL for data validation, and familiarity with Python or JavaScript for automation.
Example questions or scenarios:
- "Describe a scenario where you had to choose between a batch integration and a streaming integration for AEP. What drove your decision?"
- "How do you collaborate with data engineers using dbt and Snowflake to ensure data is properly transformed before hitting AEP?"
- "Write a complex SQL query to validate the completeness and integrity of a newly ingested dataset."
Consulting, Presales & Stakeholder Management
As a Principal Solutions Architect, your technical skills are only as valuable as your ability to communicate them. You will be evaluated on your capacity to lead technical conversations, uncover client constraints, and drive the presales process. A successful candidate will demonstrate empathy, business acumen, and the ability to build trust with both marketing executives and technical teams.
Be ready to go over:
- Presales Strategy – Leading scoping, technical design, and work planning during the prospective client phase.
- Discovery Sessions – Uncovering technical constraints, defining use cases, and identifying data requirements.
- Maturity Roadmaps – Providing expert guidance on CDP operational models and adoption patterns.
- Knowledge Sharing – Contributing to internal reusable patterns, solution accelerators, and mentoring engineers.
Example questions or scenarios:
- "Tell me about a time you led a discovery session and uncovered a technical constraint the client hadn't considered. How did you pivot the solution?"
- "How do you explain the value of an expensive RTCDP implementation to a skeptical marketing executive?"
- "Walk me through your approach to scoping a new client engagement and translating their business goals into a technical work plan."
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