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What are the best tips for answering technical interview questions as a data architect?

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Data architects design, create, and manage data systems that meet the needs of various stakeholders and users. They also need to demonstrate their skills and knowledge in technical interviews, which can be challenging and stressful. How can you ace your technical interview questions as a data architect? Here are some tips to help you prepare and perform well.

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Sanjay Moyya
Gytis Repe?ka

IT Solution Architect ?? Data and Information systems ??
Udit Garg

Head - BI & Analytics @ Concerto Card | Solution Architect, Data Analytics Strategy | Ex-Samsung | Ex - PayPal | 2x…

1 Review the basics

Before the interview, make sure you review the fundamental concepts and principles of data architecture, such as data modeling, data warehousing, data governance, data quality, data integration, and data security. You should be able to explain these concepts in simple and clear terms, and give examples of how you applied them in your previous projects. You should also be familiar with the common tools and frameworks used in data architecture, such as SQL, NoSQL, ETL, Hadoop, Spark, Kafka, and cloud platforms.

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2 Understand the scenario

Technical interview questions often involve a hypothetical or real-world scenario that requires you to design or evaluate a data solution. To answer these questions effectively, you need to understand the context and the requirements of the scenario, such as the business goals, the data sources, the data volume, the data quality, the data users, and the data challenges. You should also ask clarifying questions to the interviewer if anything is unclear or ambiguous.

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Sanjay Moyya
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Should be top of mind ?? Understand the current blueprint -> that should help communicate a path from current state to future state

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Gytis Repe?ka

IT Solution Architect ?? Data and Information systems ??
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Don't rush into conclusions before digging into the details - invest time in proof-of-concepts, analysis and review. Best solution is likely not visible at once.

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3 Show your approach

Once you have a clear understanding of the scenario, you should show your approach to solving the problem or designing the solution. You should explain your rationale and assumptions, and justify your choices and trade-offs. You should also use diagrams, sketches, or code snippets to illustrate your data model, data flow, data architecture, or data pipeline. You should also demonstrate your awareness of the best practices, standards, and methodologies in data architecture, such as normalization, denormalization, dimensional modeling, data lake, data mart, and data catalog.

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Udit Garg

Head - BI & Analytics @ Concerto Card | Solution Architect, Data Analytics Strategy | Ex-Samsung | Ex - PayPal | 2x LinkedIn Top Voice
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Never shy away from clarifying the questions and underlying assumptions. Provide a clear rationale for the questions you pose to ensure a thorough understanding. When responding, focus on the broader approach and logic unless the interviewer specifies a particular technology. Remember, there's rarely a singular solution to a problem. Articulate your approach and the factors you consider; it showcases the depth of your expertise. If you've encountered a similar scenario in past projects, share practical challenges faced and how your contributions led the team to the desired outcome. Emphasize your problem-solving prowess and adaptability to diverse situations, reinforcing your capabilities to the interviewer.

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4 Communicate effectively

Communication is a key skill for data architects, as they need to collaborate with various stakeholders and users across different domains and levels. In a technical interview, you should communicate effectively with the interviewer, using clear and concise language, avoiding jargon and acronyms, and providing relevant and specific examples. You should also listen actively to the feedback and questions from the interviewer, and respond appropriately and respectfully. You should also show your enthusiasm and interest in the topic, and ask insightful questions at the end of the interview.

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5 Learn from the experience

After the interview, you should reflect on your performance and identify your strengths and weaknesses. You should also seek feedback from the interviewer or other sources, such as peers, mentors, or online platforms. You should use this feedback to improve your skills and knowledge, and to prepare for future interviews. You should also keep yourself updated on the latest trends and developments in data architecture, and expand your portfolio and network.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best tips for answering technical interview questions as a data architect?

1

2

3

4

5

6

1 Review the basics

2 Understand the scenario

3 Show your approach

4 Communicate effectively

5 Learn from the experience

6 Here’s what else to consider

Data Architecture

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What are the best tips for answering technical interview questions as a data architect?

1

2

3

4

5

6

1 Review the basics

2 Understand the scenario

3 Show your approach

4 Communicate effectively

5 Learn from the experience

6 Here’s what else to consider

Data Architecture

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