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AnblicksSolutions Architect
Updated · Reviewed by the Dataford team

Anblicks Solutions Architect interview questions & guide 2026

Every question Anblicks interviewers actually ask, the frameworks that win the room, and the language hiring managers respond to.

4 rounds · ≈ 3-5 weeks
1
Recruiter Screening
2
Technical Rounds
3
Behavioral Rounds
4
Leadership Discussions

1. What is a Solutions Architect at Anblicks?

At Anblicks, the Solutions Architect role is a pivotal leadership position that bridges the gap between complex business requirements and cutting-edge technology implementation. You are not just a technical expert; you are a strategic partner to clients, responsible for designing scalable, cloud-native data platforms that drive digital transformation. This role sits at the intersection of data engineering, cloud infrastructure, and business intelligence.

You will be tasked with architecting end-to-end solutions leveraging the modern data stack. Whether it is migrating legacy systems to Azure or AWS, designing a Data Lakehouse using Databricks, or implementing real-time analytics with Snowflake and Kafka, your blueprints will define the future of our clients' data capabilities. You will lead technical Proof of Concepts (POCs), mentor engineering teams, and provide critical pre-sales support to demonstrate the value of our technical proposals.

This position requires a unique blend of deep technical expertise—specifically in data warehousing and cloud architecture—and the soft skills necessary to navigate stakeholder management. You will work on high-impact projects involving Azure Synapse, Power BI, and AI/ML integration, ensuring that Anblicks continues to deliver innovative, enterprise-grade data products.

2. Common Interview Questions

The questions below are representative of the Anblicks interview process for architecture roles. They are not a script, but rather a guide to the types of discussions you will have. Expect a mix of high-level design questions and specific technical inquiries.

Data Architecture & System Design

These questions test your ability to build scalable systems from scratch.

  • "Design a real-time fraud detection system for a banking client. What technologies would you use for ingestion, processing, and storage?"
  • "We have a client migrating from an on-premise SQL Server to Azure. Walk me through your migration strategy, specifically regarding downtime and data validation."
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03 · Question bank

The questions most likely to come up

Sorted by relevance to this company
Find Two Sum IndicesEasy
Use a hash map to find two array elements that sum to a target in O(n) time.
Hash TablesArraysSorting
Recently asked
Design a Highly Available ML Serving PlatformMedium
Design a distributed ML serving platform that stays available and scales under failures, traffic spikes, and model updates.
distributed systemsscalabilityhigh availability
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3. Getting Ready for Your Interviews

Preparation for the Solutions Architect role requires a shift in mindset from "how do I code this?" to "how do I design this for scale, cost, and maintainability?" You must demonstrate that you can see the big picture while remaining technically grounded.

Key Evaluation Criteria

Cloud Data Architecture Proficiency – You must demonstrate deep expertise in designing cloud-native environments. Interviewers will assess your ability to select the right services (Storage, Compute, Networking) within Azure or AWS ecosystems. You need to articulate why you would choose Azure Synapse over a traditional SQL warehouse or how to implement storage and compute separation effectively.

Data Modeling & Warehousing Strategy – A core component of this role involves structuring data for analytics. You will be evaluated on your command of modeling methodologies like Kimball, Inmon, and Data Vault. Expect to discuss schema design (Star vs. Snowflake) and how to optimize data flows for reporting tools like Power BI.

Modern Data Stack Implementation – Anblicks focuses heavily on modern tools. You need to show familiarity with the ecosystem surrounding data engineering, such as Databricks, Spark, Airflow, and DBT. The ability to discuss orchestration, CI/CD pipelines, and DataOps principles is crucial.

Consulting & Stakeholder Management – As an architect, you are often the face of the technical team. You will be assessed on your ability to gather requirements from non-technical stakeholders, translate them into technical specifications, and defend your architectural decisions. Pre-sales acumen and the ability to "sell" a solution are significant differentiators.

4. Interview Process Overview

The interview process for the Solutions Architect position at Anblicks is rigorous and designed to test both your breadth of knowledge and your depth in specific technologies. The process typically begins with a recruiter screening to align on your background and interest, followed by a series of technical and behavioral rounds.

You should expect a process that prioritizes scenario-based discussions over rote memorization. While you may encounter some specific technical questions, the bulk of your interviews will focus on architectural whiteboarding and case studies. You will likely be asked to design an end-to-end data platform based on a hypothetical client scenario, requiring you to make real-time decisions about technology stacks, data governance, and security.

Interviews generally progress from high-level fit to deep technical dives, culminating in leadership and cultural alignment discussions. Given the consulting nature of the business, expect interviewers to test your communication skills and your ability to simplify complex concepts.

06 · The loop

The interview process, end to end

≈ 3-5 weeks · 4 rounds
1
Recruiter Screening

Initial contact to align on your background and interest in the Solutions Architect role.

2
Technical Rounds

A series of interviews focusing on technical knowledge and architectural design skills.

3
Behavioral Rounds

Interviews assessing your soft skills, stakeholder management, and cultural fit.

4
Leadership Discussions

Final discussions focusing on leadership qualities and alignment with company culture.

This timeline illustrates the typical flow from initial contact to final offer. Use this to pace your preparation; ensure you have refreshed your core architectural concepts before the technical deep dives, and prepare your "war stories" of past projects for the final behavioral rounds.

5. Deep Dive into Evaluation Areas

To succeed, you must be prepared to discuss specific technologies and architectural patterns in depth. The following areas are critical for the Solutions Architect role at Anblicks.

Cloud Platforms & Data Lakes (Azure/AWS)

This is the foundation of the role. You must understand the nuances of the primary cloud providers, with a heavy emphasis on Azure. You should be comfortable discussing the lifecycle of data from ingestion to consumption.

Be ready to go over:

  • Azure Services – Deep knowledge of Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure Synapse Analytics.
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08 · Topic breakdown

What they actually test for

Topic distribution
All topics
AzureData WarehousingSQL ServerPythonPower BI

6. Key Responsibilities

As a Solutions Architect at Anblicks, your day-to-day work is dynamic and heavily client-focused. You are the technical visionary for your projects.

Your primary responsibility is to lead the design and delivery of enterprise-grade data solutions. This involves working closely with functional and technical stakeholders to understand business requirements and translating them into a robust technology proposal. You will create architectural diagrams, define technical standards, and select the appropriate technology stack (e.g., Azure, AWS, Snowflake, Databricks).

Beyond design, you are a hands-on leader. You will conduct Technical POCs to validate new technologies like AI/ML models or real-time streaming with Kafka. You will guide the implementation team, helping to resolve complex technical blockers and ensuring that the final delivery matches the architectural vision.

Collaboration is key. You will work with the Data Analytics Centre of Excellence to standardize best practices. You will also provide Pre-Sales Support, partnering with sales teams to lend subject matter expertise during the proposal phase. This includes estimating effort, defining scope, and presenting solutions to prospective clients. Mentorship is also a significant part of the role; you will train junior architects and developers, fostering a culture of technical excellence.

7. Role Requirements & Qualifications

Candidates for this role are expected to be seasoned professionals with a strong mix of legacy data knowledge and modern cloud expertise.

Must-Have Technical Skills

  • Experience: 10+ years developing data solutions, with at least 2–4 years dedicated to end-to-end cloud-native platforms.
  • Cloud Platforms: Deep proficiency in Azure (Synapse, ADF, SQL) or AWS. Experience with Databricks is often cited as a mandatory requirement.
  • Data Engineering: Strong SQL and T-SQL skills; experience with Python or Scala for data processing (Spark).
  • Warehousing: Proven track record in data modeling (Kimball/Inmon) and working with warehouses like Snowflake or Azure Synapse.

Strategic & Soft Skills

  • Stakeholder Management: Ability to communicate complex technical concepts to non-technical business leaders.
  • Pre-Sales: Experience contributing to proposals and technology evaluations.
  • Leadership: Experience mentoring teams and leading technical implementations.

Nice-to-Have Skills

  • Visualization: Hands-on experience with Power BI (DAX, Dataflows) or Tableau.
  • Advanced Tech: Experience with Kubernetes, Docker, Kafka, or AI/ML integration.
  • Certifications: Azure Solutions Architect Expert or Databricks Certified Data Engineer.

8. Frequently Asked Questions

Q: How technical is this role compared to a Data Engineer? This is a "hands-on architect" role. While you won't be writing ETL pipelines all day, you are expected to know how they work, perform code reviews, and step in to solve complex coding challenges in Python, SQL, or Spark when necessary. You cannot purely be a "diagram architect."

Q: Is this role remote? Job descriptions for Anblicks often mention specific locations (e.g., Dallas, TX; Addison, IL) and the possibility of travel to unanticipated work locations. Candidates should be prepared for a hybrid model or potential travel to client sites, which is standard for consulting roles.

Q: What is the primary tech stack I should focus on? Azure appears to be the dominant cloud platform in Anblicks' recent requirements, often paired with Databricks and Power BI. However, knowledge of AWS and Snowflake is also highly valued and often required for specific client engagements.

Q: How important is Pre-Sales experience? It is significant. Because Anblicks is a services company, Architects often assist in winning new business. Being able to create a "Technology Proposal" and evaluate requirements before a project starts is a key deliverable mentioned in the job descriptions.

9. Other General Tips

Think "Business First, Technology Second" In your interviews, always start your answers by identifying the business problem. Don't just say "I used Kafka because it's fast." Say, "The client needed sub-second latency for fraud detection to prevent financial loss, so we selected Kafka for real-time ingestion."

Highlight Your "Builder" Mentality Anblicks values architects who build accelerators and "Centers of Excellence." If you have created reusable code libraries, design patterns, or internal tools that helped previous teams move faster, make sure to highlight these.

Brush Up on Modern Governance Data Governance is a hot topic. Be prepared to discuss how you handle data quality, lineage, and cataloging (using tools like Azure Purview or Alation). This shows you are thinking about the long-term maintainability of your solution.

Know the "Why" Behind Databricks Since Databricks is listed as a "must" in several descriptions, be ready to articulate its specific value proposition—unified analytics, support for unstructured data, and the Delta Lake format—rather than just treating it as a managed Spark service.

10. Summary & Next Steps

The Solutions Architect role at Anblicks is a challenging yet rewarding opportunity for a data-centric leader. It offers the chance to work with a diverse portfolio of clients, leveraging the latest in cloud and AI technology to solve real-world business problems. If you are passionate about data modeling, cloud architecture, and guiding teams toward technical excellence, this role is a strong fit.

To succeed, focus your preparation on Azure and Databricks architecture, data modeling fundamentals, and consulting soft skills. Review your past projects and be ready to explain not just what you built, but why you made those specific architectural choices. Confidence in your design decisions, backed by deep technical knowledge, will set you apart.

14 · Compensation

What this role pays

0 reports
USUSD
Estimated total compMedium confidence · 0 data points
$0k-$0k
Median $150k / year
Base salary · 100%Stock (RSU) · 0%Cash bonus · 0%
25thEntry / smaller markets
$120k
50thTypical offer
$150k
90thTop performers / major metros
$180k
Breakdown by component
Base salary
100% of total
$120k$180k
$150k
median
Stock (RSU)
0% of total
$0$0
$0
median
Cash bonus
0% of total
$0$0
$0
median
Aggregated from 0 self-reported salaries via Glassdoor. Estimates only. Verify against your offer.

The salary data above provides a baseline for expectations. Note that compensation for Solutions Architects can vary significantly based on experience level (e.g., Principal vs. Senior), location, and specific technical certifications. In consulting roles, performance bonuses and billable utilization often play a role in the total compensation package.

You have the expertise to drive significant impact at Anblicks. Approach the process with confidence, demonstrate your ability to bridge the gap between data and business value, and you will be well-positioned for an offer. Good luck!

15 · The role

Inside the Solutions Architect guide at Anblicks

18 · FAQ

Anblicks Solutions Architect interview FAQ

Answered from real candidate and compensation data
How many rounds is the Anblicks Solutions Architect interview process?
Candidates report 4 stages: Recruiter Screening, Technical Rounds, Behavioral Rounds, and Leadership Discussions. The interview process section above breaks down what each stage covers.
How much does a Solutions Architect at Anblicks make?
Reported compensation for Solutions Architect roles at Anblicks ranges from roughly $120k base to $180k total per year, varying by level, team, and location.
What topics come up in the Anblicks Solutions Architect interview?
Anblicks Solutions Architect interviews most often cover Azure, Data Warehousing, SQL Server, Python, and Power BI, based on topics extracted from real candidate reports.
What questions does Anblicks ask Solutions Architect candidates?
Recent candidates report questions like "Find Two Sum Indices" and "Design a Highly Available ML Serving Platform". The question bank above tracks 20 questions for this role, ranked by how often they come up in Anblicks interviews.