What does a Data Architect do?
A Data Architect researches a company’s current data systems to gauge how effectively they drive business processes. They then create blueprints for desired future data architecture, including standards for current and new data systems and how these should interact. As business processes are dependent on data systems, effective data infrastructure improves operational efficiency. It also allows a company to leverage emerging technologies and take advantage of new business opportunities. Data Architects work closely together with other professionals, such as Data Scientists and Data Engineers.
Data Architect skills and qualifications
Business processes constantly evolve and change, which means a company’s data infrastructure must be flexible and adequately support and reflect business flow. To create an effective architecture, Data Architects need an in-depth understanding of business processes and functions, including a company’s products, clients and marketing strategies. A successful Data Architect candidate will have various skills and qualifications to excel at their job, these include:
- Excellent communication skills to effectively translate sophisticated concepts into easily understandable language
- Good interpersonal skills to lead groups and negotiate and build consensus regarding future goals
- The ability to conceptualise holistic architecture solutions that address the needs of an organisation as a whole
- The ability to manage and facilitate technological change
- A solid understanding of existing and emerging data technologies
- In-depth knowledge of the principles and practices of good systems design
- Innovative thinking to devise solutions that address the gap between business needs and technological constraints
Data Architect experience requirements
Data Architects need a solid background in systems development, application design and information management. Employers normally expect proven experience in data modelling, data analytics and database design. They may also ask that candidates show knowledge of emerging data technologies, such as predictive analytics, data visualisation and NoSQL databases. Depending on the position, candidates may need experience in various relevant areas, such as cloud machine learning, big data, text extraction and AI concepts. Experience in leading sophisticated projects and working with business partners is an advantage.
Data Architect education and training requirements
The typical educational requirement for Data Architect positions is a bachelor’s degree in a computer-related field, such as computer science, computer engineering or information technology. Depending on the position and employer, candidates may need a master’s degree qualification. A Master of Science in Enterprise Architecture Management, for instance will allow a candidate to develop specialised knowledge in this field. Candidates can also grow their skills by obtaining professional qualifications. The International Business Machines (IBM) Corporation, for instance, offers the IBM Certified Data Architect – Big Data designation. Another well-respected qualification is the Data Management Association’s (DAMA) Certified Data Management Professional (CDMP) designation.
Data Architect salary expectations
No salary data could be found on https://www.indeed.co.uk/salaries.
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