They also may have a master’s degree in data architecture, data science, information systems or a similar field to enter competitive or higher-level roles.Ĭandidates will often need to obtain several years of experience in data administration, programming, system administration or systems engineering before entering the data architect role. How to Become a Data Architect Data Architect Education and Experienceĭata architect candidates are often expected to have a bachelor’s degree in computer science, data science, management information systems or a similar field. Verbal and written communication skills.Knowledge of cloud computing technologies.Knowledge of big data tools and databases.Experience in data analysis tools and techniques.Expertise in programming languages (C, C++, Java, Python, SQL).Expertise in data security and compliance procedures.Expertise in data flow and Extract-Transform-Load (ETL) tools.Expertise in data modeling and design tools.Expertise in data management and storage systems (database, data container, data lake, data warehouse).Master’s degree in data architecture, data science, information systems or a similar field.Bachelor’s degree in computer science, data science, management information systems or a similar field.Proficiency in C, C++, Java, Python or SQL as well as software engineering principles.Understanding of data security and implementation measures for data systems. Ability to research and develop strategies for data acquisition, migration and recovery.Ability to design and model database, data warehouse and data flow infrastructures.Several years of experience in database administration, system administration, systems engineering or a similar role.What Skills Are Needed to Be a Data Architect? Qualifications to Be a Data Architect A Day in a Life of a Sr Solutions Architect - What I Actually Do at Work. Try watching this video on or enable JavaScript if it is disabled in your browser. Importance of Data Architectsĭata security compliance or data flow needs may be neglected without data architects, as they create a foundation for data infrastructure protocols, setting expectations for how the rest of a data science team and company will build these systems and handle stored data. They also tend to report to data infrastructure and data science leads. They may be tasked with leading data system projects, and frequently collaborate with data analysts, data engineers and data scientists to accomplish their work. Communicate with data analysts and database administrators to implement procedures and determine infrastructure needs.ĭata architects are usually part of a data science team within a company.Document data pipeline procedures or queries for metadata and reference data cases.Use programming languages like Python to code, test and troubleshoot data architecture applications.Use data modeling tools like ER/Studio to visualize and design data architecture.Research and apply data acquisition sources.ĭay-to-Day Responsibilities of Data Architects.Analyze and improve existing data infrastructure to ensure proper data handling.Define reference architectures and data flow for future infrastructure development.Design and build data architecture frameworks based on business and technical requirements.Create and define data infrastructure policies, procedures and processes.Data architects also largely define a company’s baseline policies and procedures for data infrastructure, which can help direct the work of data engineers.ĭata architects review, analyze, plan and optimize data management and storage infrastructure to ensure information is accessible and secure for those using the systems. Here’s what to know about a data architect’s needed skills, salary and how to become one.ĭata architects create the initial drafts of data architecture and data management frameworks according to business and technical requirements. Data architects leverage programming and information technology (IT) expertise to design the theoretical blueprints of data management systems.
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