What do you do if you're a data architecture candidate and want to stand out to employers?

As data architectures evolve, mastering various aspects becomes crucial. Before pursuing such roles, focus on: Freeing the Data: Understand ETL/ELT, batch processing, CDC, streaming, etc. Managing the Data: Embrace DQ and Governance tools like Catalog, Lineage, Impact, glossary, etc. Understanding the Data: Utilize AI/BI/ML for descriptive, predictive, or prescriptive analytics. Activating Automated Actions: Integrate, embed, stay notified, trigger workflows, etc. Ultimately, the ability to turn raw data into informed action is key.

Don't underestimate the power of CLI especially if you mastered some of the tools after either reading one of the most brilliant books 'Designing Data-Intensive Applications by Martin Kleppmann' or just having learnt brilliant design of Unix / Linux systems. Mindset in understanding these data concepts is crucial and something that needs to be built over time. No wonder they say ' Nothing can Substitute Experience '. Don't forget, in the current decade, to get yourself familiar with streaming data. With tools such as Docker, it's a walk in the park to orchestrate e.g. Kafka topics or Spark RDDs to extend your knowledge of batch to powerful streaming data transformations.

It’s essential to have a solid understanding of the fundamental concepts and principles of data architecture. This includes data modeling, data warehousing, data integration, data governance, data quality, data security, and data standards. Familiarity with the common tools and frameworks used in data architecture, such as ER diagrams, UML, SQL, ETL, Hadoop, Spark, Kafka, and more is the first step. Remember, don’t settle for just the basic knowledge of data structure. Keep learning and expanding your knowledge to stay ahead of the curve!

I currently use mind maps to organize concepts, patterns, frameworks, and tools. Then, I connect nodes and information with what I already know. Next, I ask ChatGPT to craft a narrative suitable for a 12-year-old. I convert it to an MP3 using a voice reader for Mac command line and listen while walking in my neighborhood. If I'm indoors, like in the dining room, I draw characters in scenes and imagine them. This method connects my previous knowledge with new information in a similar context. I create anchor stories or characters for easy recall. It reinforces new knowledge visually and audibly, relating to places and activities from the day.

When preparing for a job interview, it’s crucial to tailor your profile to the company’s vision, products, and services. Your story should be all about how you can contribute to their organization. Remember, it’s about them, not you. The moment you put yourself in the center, you will lose the interest of your audience.

When it comes to job interviews, few applicants take the critical step of showcasing their portfolio. This can be a game-changer and set you apart from other candidates. Remember, the interviewer’s attention span is short, so avoid boring them with non-visuals. You can ask permission to share your screen and showcase your portfolio, including GitHub, papers, presentations, videos, and demos.

Tailoring your resume and cover letter to highlight these aspects, along with examples of successful projects or innovations you've contributed to, can make a strong impression on employers. Highlight your proficiency with key data modeling tools and technologies, as well as your experience in designing scalable and efficient data systems.

What can you do that others can't? Many people feel demotivated by this question, but the point is, you must do something extraordinary. You have your own way of doing things. For example, you can share your experiences by screen sharing, suggest optimizations, or introduce them to new tools that solve problems more effectively.

Para se destacar como candidato a arquitetura de dados, foque em aprimorar suas habilidades de codificação e resolução de problemas. Utilize plataformas como LeetCode, HackerRank, e Codewars para prática intensiva. Domine padrões de arquitetura de dados, incluindo esquemas em estrela e floco de neve, e arquiteturas lambda e de microsserviços. Demonstre sua capacidade de aplicar soluções técnicas inovadoras e sua proficiência em desenhar sistemas de dados eficientes e escaláveis.

Demonstrating your ability to translate business requirements into robust data architecture solutions is an essential ingredient in making a good impression

Emphasize your continuous learning attitude by mentioning any recent certifications or courses. It's also important to demonstrate the required attention to detail when a problem or solution is being discussed.

Nobody says no to money. My advise here would be to discuss business numbers ( public records or Crunchbase.com are your assistance here ). One new thing I have learnt ( coming from AdTech background ) is to explain what CPM is ( look it up ), then talk about eCPM which basically boils down what it will cost the company for them to hire you. Effectively if you could sell a solid idea of nearly $0 eCPM for your services, then you should be on your merry way to landing that ( dream ) job that you so wish!

When interviewing, sharing your relevant certifications and discussing the importance of being a lifelong learner can be very helpful. Emphasize how these credentials will contribute to the organization’s success. You can also ask proactive questions like “What is the most challenging part of the job?” and “How do they measure success in the role?” to show your interest and enthusiasm for the position.

That #3 develop your own case studies is a wonderful idea for any number of jobs, not just architecture. In addition to helping organize your thoughts, it will boost your confidence and lets face it this job hunting process can be brutal. However, I think the 800 pound gorilla is getting an interview. The resume bots are ruthless. Try and find a contact inside the company or even a high ranking member of your network to make a recommendation to a different company, something besides apply and wait.

Two more cents is to make sure you have done great research on who you are talking with. Make sure you remember multiple people's names in the interview and use them concisely and possibly with the right context. Always a great feeling when you have carved out an appropriate answer for each of your interviewees.

To stand out as a candidate, it is essential to focus on showcasing your technical skills, project experiences, and understanding of current data trends.