![]() A Data Science Boot Camp is all you need to become a skilled data architect and expert professional in your relevant job area within less time. Whether you are looking to crack a job position in your dream company or aspiring for a promotion, this is the quick and right fix to boost your career. One vital factor affecting your salary package is your experience: more experience, expertise, and handsome data warehouse architect salary packages. If you are a novice architect, your senior data architect salary can differ according to the company size and the location of your job. ![]() Data Architect Salary : Based on Experience The average annual data solutions architect salary is $208,539. If you are a beginner data architect in the United States, the starting big data architect salary can be $89,000 per annum, which can go as high as $2,00,000 per year for a professional data architect. According to Glassdoor, it is estimated that as of 2022, the average base pay for a data architect is $1,27,091 p.a. The data architect's salary differs based on various influential factors like location of the job, job position, type of company, experience, and more. Choose your favorite industry type that is aligned with your career goals. Data architects can now prove their expertise across various industries, such as healthcare, hospitality, banking, logistics, travel, gaming, aerospace, and more. An Overview of Data Architect Salary in 2023Īs one of the top roles in data science, data architect jobs are not restricted to one particular domain like IT or finance. Overall, a data architect is responsible for aligning the company's data assets with the defined data architecture. Data architecture minimizes the risk of chaos likely to be created by the unavailability of data at the right time. The best way to become a professional architect is to grab the best online course, undergo training, and get certified, all in your comfort.ĭata architect manages the organizational data where a smooth way of data usage and data security is guaranteed. Grab the top job positions in MNCs with this Data Science Course. Most data architect professionals get handsome database architect salary packages based on their certifications. They will define how data should be stored, consumed, integrated, and managed by various data entities and IT systems. Data architects provide the correct information at the right time for the right group of authorized persons. ![]() A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. This increased the data generation and the need for proper data storage requirements. Who is a Data Architect?ĭue to the post-covid effect, most businesses switched their operations to online mode. Data architects come into the list of well-paid professionals and are most sought after by top companies across various industries. Along with the data science roles of a data analyst, data scientist, AI, and ML engineer, business analyst, etc, data architect is also one of the top roles in the data science field. As long as the data is generated continuously, businesses will always be on the lookout for data science professionals and expert data science teams. With the top major industries stepping into the online world, data science is becoming less of a buzzword and more of the top domain ruling the future digital world. Once the raw data is refined and structured, information can turn an entity's losses into profits, startups into MNCs, and lost customers into permanent ones. As they say, data is the new wave of the 21st century. Data Science is also concerned with analyzing, exploring, and visualizing data, thereby assisting the company's growth. Here Data Science becomes relevant as it deals with converting unstructured and messy data into structured data sets for actionable business insights. As a result, most companies are transforming into data-driven organizations harnessing the power of big data. This is good news for companies and business entities as this data will be extremely useful in decision-making and improving customer satisfaction. As today's world is inclining toward digital space, data is generated each second.
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