What does a data architect do?
Data architects work in IT environments to review and analyze the data infrastructure of an organization. Using adept computer science and analysis skills allows data architects to analyze their organization’s data infrastructure and create plans for future databases while planning data storage solutions that can be immediately implemented. Ultimately, data architects are responsible for ensuring an organization’s data is securely stored and accessible to permitted users.
A bachelor’s degree in a relevant field and previous work experience in data management is needed to become a data architect.
Data architects are key employees within an organization’s data hierarchy, meaning candidates must possess several qualifications to be considered for a data architect role. A bachelor’s degree in computer science, computer engineering, database management or a closely related field can pave the way for a career in data architecture. Many organizations will also require candidates to possess a master’s degree in data analysis or computer science. Additionally, years of experience in a senior data management role, such as a business intelligence manager, IT manager or senior developer, will be needed to be considered qualified for this position. Courses and certifications, such as those from Udacity and Udemy, will also provide candidates with the necessary skills to succeed as a data architect.
Data architects in the United States make an average base salary of $143,573.
Data architects are pivotal stakeholders in any organization’s staff, providing the ability for employees throughout the enterprise to efficiently access data that allows them to perform their job responsibilities. Accordingly, data architects are amongst the most highly compensated data-focused employees on payroll. The average base salary for a data architect in the United States is $143,573, according to Built In. U.S.-based data architects also make an average of $45,929 in additional cash compensation, raising the average total compensation for data architects in the U.S. to $189,502. Salary data is gathered by Built In from responses submitted by anonymous data architects based in the United States and is updated in real time.
Data architects must be skilled in data programming, data analysis, data management and organization to succeed.
Being successful in a data architect role requires the ability to implement and maintain the enterprise’s data strategy while ensuring it aligns with organizational goals. This includes creating data model designs, database development, the management of data warehouses and maintaining all data analytics systems.
Additionally, data architects must be able to identify internal and external data sources, coordinate with teams across departments to understand enterprise data needs, implement big data infrastructure, implement, design and develop data architecture applications, manage data flow, and continually audit the performance of data management systems. Data architects must be highly capable of working with SQL, Microsoft Azure, AWS, Hadoop, data visualization platforms, as well as be proficient in machine learning, supervised learning, unsupervised learning, predictive analytics, text analysis, natural language processing, data mining and data science programming languages like Python, C++ and Java.