Roles and responsibilities: A data architect is an expert who builds complex computer database systems that are accessible, useful, and secure. He/She helps define the end of the database and then formulates the organizational data strategy, including standards of data quality, the flow of data within the organization, and the security of the data.
Works with teams and business leaders to develop data-centric solutions by collecting and translating the information requirements into data. Creates a blueprint for building an integrated framework of easily accessible, secure data by understanding the business need and exploring the existing data structure.
Average salary (pPer annum): US$1,16,315
Pursue a degree in computer science which cover courses like big data developments, programming, data management, technology architectures, and system analysis
Udacity's Data Architect Nanodegree: It is a perfect course if you have intermediate skills of SQL, basics in data pipelines, python. This will involve training on the foundation of data architecture, designing data models, and ERD. You will learn to build a database and will give you an edge towards learning. All your questions will be answered by Technical Mentors.
IBM Certified Data Architect-Big Data: It is a professional-level certificate to enter the data science domain and ML. It gives an understanding of the concepts such as DS, SQL basics, Python, data wrangling, data visualization to machine learning models applications on real data sets.
QlikSense Data Architect Masterclass-Udemy: It provides skills needed to build a data model. This provides detailed step-by-step instructions by an instructor and will get hands-on challenges to develop an enterprise. With this, you will develop and debug scripts, create data connections.
Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory, and tax services, etc. This information is stored in the form of data and so data architects are needed for the company to build complex computer database systems that are accessible, useful, and secure for a better understanding of the businesses.
Capgemini: Capgemini is a consulting, technology services, and digital transformation company with data used for defining the end of the database, and then formulating the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of the data.
Bank of America: It is an American multinational bank that relies on huge amounts of data architects for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by understanding the business need and exploring the existing data structure.
Amazon: Amazon is one of the biggest e-commerce companies around the world and is also among the top data architect recruiters worldwide. Amazon is a giant of data and to comprehend the intensity of data it requires data architects for its core operations from marketing streamlining, logistics, and inventory management to sales expectation and even HR analytics.
Fractal Analytics: The company has emerged as one of the top analytics services providers in the country. The company has a global footprint boasting of several Fortune 500 companies from industries like retail, insurance, and technology. It has many branches in all parts of India hiring new positions.
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