How to become a Data Architect – A complete career guide
Data architects design and manage vast electronic databases to store and organize data. They investigate a company’s current data infrastructure and develop a plan to integrate current systems with a desired future state. Data architects then write code to create new, secure framework for databases that may be used by hundreds or thousands of people.
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|Georgetown University||Master||Master of Science in Business Analytics||website|
|Johns Hopkins University||Master||Online MS in Data Analytics and Policy||website|
|Utica College||Master||Online MS in Data Science||website|
|Husson University||Bachelor||B.S. in Data Analytics||website|
|Capella University||Bachelor||B.S. in Information Technology||website|
|Southern New Hampshire University||Bachelor||B.S. in Data Analytics||website|
|George Mason University||Master||Online MS in Data Analytics||website|
|Drake University||Master||Master of Science in Business Analytics||website|
|Saint Joseph’s University||Master||Master of Science in Business Intelligence and Analytics||website|
Six steps to launching a successful Data Architect career
Step 1: Obtain your undergraduate degree
Appropriate bachelor’s degrees are in computer science, computer engineering, information technology, or a related field. Data architects usually have very solid backgrounds in application design, systems development, and information management. You’ll want to successfully complete coursework in these topics, as well as in computer programming, web development, operating systems, systems analysis, and technology architecture.
Step 2: Complete an internship
Data architecture is not usually an entry-level job. Therefore, you’ll want to gain as much experience early on as you can to prepare you for this role. Look for internships in IT fields that help you build skills in application architecture, network management, and performance management.
Step 3: Gain work experience in information technology
Again, your first job title probably won’t be “data architect.” You’ll likely need at least 3-5 years of job experience with proven project success before becoming a data architect. Apply for entry-level jobs in programming or database administration. Continue to work on your skills in database design, development, management, modeling, and warehousing.
Step 4: Get hired as a data architect
After the necessary training and years of experience, you’ll be ready to start your career in data architecture. Look for jobs in finance, large educational entities, healthcare firms and insurance companies, businesses, and other organizations that take in and process large amounts of client data. You can also find success looking for data architect jobs with computer manufacturers and software corporations.
Step 5: Earn professional certifications
The most well-known professional certificate is the CDMP (Certified Data Management Professional), offered by the Institute for Certified Computing Professionals. This certificate requires candidates to have 2 years of work experience as well as a bachelor’s degree before taking the certification exam, either at the “practitioner” or “mastery” level.
Step 6: Pursue a Master’s degree
A master’s degree is preferred for many senior positions in data architecture. The best options are master’s degrees in computer science or data science.
What is a Data Architect?
Data architects are generally senior-level professionals, and are highly valued in large companies. They use sophisticated computer design skills to develop databases for organizations, allowing for the collection and analysis of big data. Data architects must be creative problem-solvers who use a vast amount of programming tools to innovate and design new solutions to store and manage data.
What does a Data Architect do?
A database architect helps a company understand its strategic goals with regards to data management, and works with software designers and data engineers to develop plans for new integration of databases. Data architects must have keen business intelligence to work with higher level officials in a company and assess the particular needs of that company. Keeping aware of industry trends, data architects then create a new platform that can function for many people and in many areas.
Data architects are also in charge of scheduling updates and improvements to the database they have created with minimal impact to the company. This can mean that a data architect must work long hours and/or on the weekends to complete projects and updates on time.
Data Architect job description
- Communicate with many different company stakeholders to assess needs and goals
- Evaluate current data architecture and databases
- Plan end-to-end model for data consumption and analysis
- Code new data architecture, integrating existing databases
- Use ETL (extract, transform, load) best practices in the creation of the database
- Research and discover new methods to acquire data
- Monitor databases and report on effectiveness and accuracy, updating as needed
- Maintain security of the database, and create standards to ensure that the system is safe
- Preserve a repository of all data architecture artifacts
Skills needed to become a Data Architect
Data architects are highly trained workers, who are fluent in a wide range of programming languages as well as other technologies, and must be good communicators with keen business insights. Data architects must have strong attention to detail, as any problems in coding can cost a business millions to repair.
Technical skills involved with being a data architect include strength in:
- Applied math and statistics
- Data visualization and data migration
- RDMSs (relational database management systems) or foundational database skills
- Database management system software, especially Microsoft SQL Server
- Databases such as NoSQL and cloud computing
- Hadoop technologies, like MapReduce, Hive, and Pig
- Information management and data processing on multiple platforms
- Machine learning
- Data mining and modeling tools, especially ERWin, Enterprise Architect, and Visio
- Programming languages, especially Python and Java, as well as C/C++ and Perl
- Operating systems, including UNIX, Linux, Solaris, and MS Windows
- Application server software, especially Oracle
- Backup/archival software
Successful data architects have a number of other business skills. Though they must have a depth and breadth of experience in the field, data architects must also be creative problem-solvers, who are ready to innovate new solutions, and change along with evolving technology.
As data architects are often senior officials on a project, they must be able to effectively lead members of a team, such as data modelers, data engineers, and database administrators. They must also be able to communicate solutions to colleagues with non-technical backgrounds. Finally, data architects should have a deep knowledge of their own particular industry, including best practices and trends for how data is collected, stored, and analyzed in that industry.
Data Architect salary
According to recent information from payscale.com, “a data architect earns an average salary of $111,139 per year.” The highest paying data architect jobs require expertise in Apache Hadoop. Data architects can expect to make much higher salaries with 10 or more years of experience. The highest-paid data architects are in Silicon Valley, with other higher-than-average salaries in Washington, D.C. and New York City.
Data Architect job outlook
Data architects report high job satisfaction, probably due to the fact that the role presents new and important challenges every day. The role will certainly continue to change as technology evolves, and the best data architects welcome this change by staying up-to-date with new systems and languages. Massive amounts of data are generated by the minute, and data architects are necessary to solve problems on a daily basis, as well as take the long view and try to imagine what problems a company will face in 3-5 years.
More and more companies are realizing that data architects are one of the most important links in the data chain. As one big data architect at IBM put it, “More data actually doesn’t make us smarter if we don’t have the ability to consume it.” Businesses of all types have come to understand that data architects are necessary to introduce order into the chaos and provide access to data that data scientists and analysts can then mine for business solutions.