One of the most promising careers within the data science world is that of data architect.

Data architects harness the power of data to make informed, accurate decisions that help them find long-lasting solutions to a wide variety of business challenges and problems. They can work in many different industries, including (but not limited to) healthcare, finance, entertainment and government.

What is a data architect?

Data architects are information technology (IT) specialists who define policies, procedures, models and systems for collecting, organizing, analyzing and storing company information. 

Their exact duties and responsibilities will vary per position and per company, but there are some day-to-day responsibilities you can expect in just about every data architect’s role.

Some of these duties include:

• Creating and optimizing systems to ensure data accuracy
• Implementing data management procedures

Data science is one of the fastest growing fields in the world today — named the sexiest job of the 21st century by Harvard Business Review.

This rapid industry expansion has resulted in a massive demand for data science professionals, including data scientists. You’re only five steps from becoming a data scientist and earning an estimated $145,000 per year.

What is a data scientist?

A data scientist is someone who specializes in analyzing and interpreting different kinds of data. 

They need a strong background in subjects like mathematics, statistics and computer science. They typically have a curiosity that helps them identify the most effective solutions for different complex problems, and they also possess the technical skills necessary to solve data-related problems.

There are many different careers within the data science field, each with varying res

Data science bootcamps are a key factor for success in many aspiring data science professionals’ careers. They offer a combination of skil

One of the biggest differences between successful and unsuccessful companies is how well they use data. There has been a massive shift in recent decades towards analytics and data-driven solutions, which has made data science one of the largest “make or break” factors in the success or failure of modern-day organizations.

As a result, the data science industry is booming — offering thousands of new careers each year for analysts looking for positions mining, analyzing and identifying trends in corporate data sets. Positions for data scientists alone are expected to grow 36% through 2031, creating an estimated 13,500 new job openings each year.

Careers in data science: what to know

Not everyone understands or appreciates how genuinely fun, interesting and rewarding data science careers can be. Data science is an ever-evolving field and constantly expanding industry, one that has become essential for organizations who want to become and remain successful.

Nowadays, all businesses — big or small, and in all industries — require at least one person (if not a whole team of people) who can deconstruct, comprehend, organize and use data. Wit

With each new technological advancement, the data science industry grows a little wider.

Data science is one of the most rapidly-growing fields to date, and the number of in-demand career paths only continues to rise with each passing year. It is an essential component for accelerating the growth, transformation and profit of a company in a cost- and time-efficient way.

The most successful data professionals understand the importance of having a full understanding of the evolving data science world, alongside a skill set that complements the entire data science lifecycle. With well-rounded knowledge of how to capture, maintain, process, analyze and communicate data, data scientists

Improve data literacy at your company by establishing clear leadership, tracking success indicators, leveraging effective tools and enrolling in a high-quality data literacy training program.

Assessing data needs and integrating them into your hiring process allows companies to onboard a team ready to keep data safe from risks.

Hiring the right data science team means thoroughly vetting candidates, asking the right interview questions, and finding talent aligned with your goals.