How to Become a Data Architect in 2021?

Data Architect

Welcome to Sefisoft, In this video, you’ll learn how to land one of the most promising jobs in Data science. Yes, we’ll tell you everything you need to know about becoming a data architect, we’ll take a good look at who the data architect is, what they do, how much they earn, and what skills and academic background you need to become one.

1. Data architect career path

Okay, let’s talk about the data architect career path. First thing worth remembering data architect is just one of the most coveted data science job roles out there. So here’s a list you should consider

  • data analyst
  • bi analyst
  • data architect
  • data engineer
  • data scientist

2. Who is data architect

So who is the data architect Exactly. If you’ve seen the 1999 cult movie, The Matrix you probably recognize the architect is the creator of the utopian world for human minds to inhabit. Much like their blockbuster counterparts, data architects create the database from scratch.

They design the way data will be retrieved, processed and consumed. That was the teaser trailer of the data architect job. But what does the data architect actually do?

3. Role of Data architects

Data architects are technical experts who adapt data flow management and data storage strategy to a wide range of businesses and solutions. They’re in charge of continually improving the way data is collected and stored. In addition, data architects control access to data. So all you corporate spies out there, now you know who to look for.

Data architects are also responsible for design patterns, data modeling, service oriented integration, and business intelligence domains. They often partner with fellow data scientists and it guys to reach the company’s data strategy goals.

A data architect constantly seeks out innovations to provide improved data quality and reporting, eliminate redundancies, and provide better data collection sources, methods and tools.

Hmm, sounds like serious business. So how much do data architects make?

4. how much do data architects make?

We consulted with Glassdoor and PayScale to give you the numbers? According to Glassdoor salaries report, the average annual pay for entry level data architects in the US is approximately $104,000, while professionals with four to six years of experience make more than $125,000 and can easily get bonuses in the region of $10,000 a year.

What about the UK as a data architect early in your career, you can earn an average total compensation of 45,000 pounds. However, a mid career data architect with five to nine years of experience can get as much as 55,000 pounds, including bonuses and overtime pay, it seems you can expect some solid growth.

5. how to become a data architect

It’s time to answer the big question, which is how to become a Data architects. If you’re now looking forward to starting a career as a data architect, great choice. The data architect role is on the rise with its increasing importance for enterprises and their business success.

But there are a few key points you should take into account before you know for sure that the data architect career path is the right one for you. Let’s start with the academic background.

  • Academic background

A bachelor’s degree in Computer Science Information Systems Engineering or related field will definitely give you a competitive edge. But don’t be quick to despair if you studied something entirely different.

It turns out these are by no means prerequisites to get the job. According to LinkedIn job offers employers are much more interested in relevant work experience than in shiny degrees. in their own words, bachelor’s degree in computer science is desirable, but will waive this requirement entirely if you have significant and applicable real world experience.

  • How can you get there?

First of all, Master Python or our SQL Tableau and gain experience in data modeling and machine learning. The good news is that even if you lack the qualifications, there are ways you can build up your knowledge from scratch, be it by taking some additional qualification courses or by enrolling in an online certificate data science training.

  • skills

Speaking of qualifications, what are the data architect must have skills you should acquire. As a data architects, you’ll have plenty of challenges to solve daily. That means you’ll need a robust skill set including technical, practical and soft skills.

Okay, technical skills, you’ve got to have some strong data modeling skills experience in Python R and SQL band good command of data visualization tools, for example tableau. Of course, you shouldn’t limit yourself to these. That said, you can only benefit from some knowledge in XML and Java.

Then come the three DS you should strive to add to your arsenal, database architecture, data warehousing, and data governance know how. And finally being familiar with data retention concepts and practices is definitely a plus, along with understanding automation of data flows and integrations.

  • Practical skills?

Let’s take a look at the list of practical skills a data architect demonstrates. So a data architect can lead multiple highly complex efforts simultaneously. Establish and implement standards and guidelines. Determine key architecture solutions that meet performance, scalability, reliability and security needs.

Research and evaluate emerging data management technologies for applicability and adoption. Present technical concepts to upper level management and officers work independently. Employees strong problem solving skills, execute tasks with impeccable attention to detail.

  • Soft skills

Anything else? Yes, the soft skills. Although there’s nothing out of the ordinary here, soft skills are sometimes the hardest to master. So make sure you work on your communication skills and the ability to provide technical leadership and guidance to your project team when necessary.

All right now you know the essentials of the data architect job and what skill set you should build up in order to become one.

Thanks for Reading and best of luck in your Data science journey.

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