![]() If you’re interested in this advanced data career, here’s a quick guide on how to get started.Ĭonsider a degree in data or computer scienceĪ bachelor’s degree is the most common entry-level requirement for data architects, according to Glassdoor. Time management and the ability to multitask so that you can accomplish tasks and complete projects in a fast-paced environment.ĭeveloping the right skills is a big part of becoming a data architect. Problem-solving and analytical skills to safeguard data integrity, security, and organisation. ![]() Structured query language (SQL) to manipulate dataĭata modelling tools like ERWin or Visio to visualise metadata and database schemaĬommunication skills to help you effectively collaborate with other departments. Machine learning to build scalable systems for handling big data Here are some of the valuable skills you’ll need:ĭata mining to uncover patterns, anomalies, and correlations in large data setsĭata management to efficiently and cost-effectively collect, store, and use dataĬoding languages like Python and Java to develop applications for data analysis To become a data architect, you’ll need a mix of job-specific and more general workplace skills that empower you to leverage data tools and technologies to help data drive business goals. Your salary will depend on factors like where you work, your level of experience, and the industry you work in, among others. Machine learning architects design scalable systems with machine learning and artificial intelligence (AI) models.Īccording to Glassdoor, the average annual salary for data architects in India is ₹22,74,542. Security architects design and employ safeguards to ensure data confidentiality, integrity, and availability. ![]() Project managers oversee projects associated with the planning and building of data architecture.Ĭloud architects employ company data in a cloud environment for optimal performance. Examples include:ĭata architects define an organisation's data vision and put it into practice. It's also important to consumers who want to keep their data safe.Īs a data architect, you can use your skills in multiple ways and fill various roles. It's critical for business leaders who rely on data to make sound decisions. The volume of data that businesses and organisations deal with daily grows rapidly. Researching data acquisition opportunities.ĭeveloping application programming interfaces (APIs) to retrieve data. Translating business requirements into databases, data warehouses, and data streams.Ĭreating procedures to ensure data accuracy and accessibility.Īnalysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data.Ĭreating and implementing data management processes and procedures.Ĭollaborating with other teams within the organisation to devise and implement data strategies, build models, and assess shareholder needs and goals. Depending on your organisation and industry, your day-to-day tasks might include: ![]() Typical responsibilities range from evaluating the current data architecture to keeping databases secure. Since almost every company uses data, data architects can work in nearly any industry, including technology, entertainment, health care, finance, and government.ĭata architect tasks and responsibilities What is a data architect?ĭata architects are IT professionals who leverage their computer science and design skills to review and analyse an organization's data infrastructure, plan future databases, and implement solutions to store and manage data for organisations and their users. Data architects work in various industries, including the technology sector, entertainment, health care, finance, and government.Īre you interested in launching your career in data architecture? Learn how to get started in this guide. This includes drafting a data management framework to meet business and technology requirements while ensuring data security and compliance with regulations. ![]() Much like traditional architects draw up blueprints for the framework used to create structures, data architects design the blueprints that organisations use for their data management systems. ![]()
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