Data engineers command an annual median salary of $90,286.ĭata architects and data engineers together put a usable Data Architecture in action for the organizational Data Management teams. In the Big Data world, these highly specialized engineers are responsible for building and testing maintainable Enterprise Data Architectures. In most cases, data engineers earn their qualifications from the myriad of certificate courses available from professional training vendors. On the other hand, data engineers assist the data architects to build the working framework for data search and retrieval, which both scientists and analysts can use for their work later. According to a report from, data architects enjoy a median salary of $111,139 per year. Typically, an entry-level data professional will have to go through grueling years of data design, Data Management, and data storage work before qualifying for a data architect’s position. Very often, these experts have academic degrees in a computer discipline, years of systems or application development work, and deep knowledge about Information Management. Each Data Science team requires a data architect to visualize, design, and prepare data in a framework that can be utilized by data scientists, engineers, or data analysts. Data architects design the “blueprint” for organizational Data Management. Descriptions of Two Complementary Job Titlesĭata architects have the capability to “put order in data chaos.” Without this, enormous piles of business data are useless. Between 20, the growth of data engineers was around 122 percent in response to a massive data industry need. Recent Enterprise Data Management experiments have proven beyond doubt that these data-focused software engineers are needed to work along with the data architects to build a strong Data Architecture. The data engineering role has recently evolved from the traditional software-engineering field.
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