Data Analytics Architect

The path to becoming a Data Analytics Architect is quite different from a path to becoming a Data Scientist, despite both being a part of the data science field. Data Analytics Architects focus on designing, building, and maintaining the infrastructure that allows data to be collected, stored, processed, analyzed, and used by any number of users. They team up with data scientists to turn data into actionable business intelligence. These professionals rely more heavily in their backgrounds on computer engineering and computer programming than data scientists. This career is more similar to that of a Big Data Engineer or a Data Engineer than a Data Scientist. In a sense, Data Analytics Architects are similar to DevOps professionals who focus on data pipelines or data streaming.

Steps to Becoming a Data Analytics Architect

Becoming a Data Analytics Architect involves completing formal training in data analytics architecture, which is rare, or completing training in fields such as computer engineering and computer programming, and then taking on data analytics architectural projects or working for an extended period of time under the mentorship of a Data Analytics Architect while working on data analytics projects in another role, such as a Data Engineer.

Skills and Knowledge Required to Become a Data Analytics Architect

Data Analytics Architects must have a strong foundational understanding of data analytics architecture, meaning they should have working knowledge of data analytics and data science and knowledge of the tools, platforms, and languages used to transform data. They should also have a strong foundational understanding of computer engineering and computer programming. Familiarity with cloud-based computing environments and data storage systems, as well as experience with data modeling and big data platforms, data analysis and data warehousing, and data governance and management are all crucial. These professionals work with structured and unstructured data and must also have a working knowledge of Agile methodologies.

Role of a Data Analytics Architect

Data Analytics Architects are responsible for designing and deploying data architectures that meet the needs of an organization. They may also define data architecture standards for data collection, processing, access, and governance, supervise data analytics teams, and develop data analytics applications. As the complexity of data analytics applications continues to increase, along with the volume and velocity of data being processed, these professionals will find themselves playing a role in every industry as more and more organizations strive to leverage data analytics to gain business advantages and make more informed decisions.

Career Path for Data Analytics Architects

Professionals usually transition into this role from roles in data engineering or a related field, or they enter directly with formal education in data analytics architecture. Data Analytics Architects who wish to further their careers may move into senior roles in data analytics or even into more general senior-level management roles in technology. Because data is increasingly important to every modern organization, the career opportunities for these professionals are expected to continue to grow exponentially.

Projects that Data Analytics Architects Work On

Data Analytics Architects might work on a variety of projects, including designing and building a data warehouse, developing data pipelines, and implementing data governance policies. Architects may also work with shared data services and data as a service, participate in data policy committees, and work on data infrastructure and data science platform projects.

Characteristics of Someone who Would Excel in a Role as a Data Analytics Architect

The ideal candidate for a role as a Data Analytics Architect is someone who is passionate about data and technology. They should be highly analytical and have a strong problem-solving ability. They should also be able to think strategically and have a good understanding of business needs. Additionally, Data Analytics Architects should be able to work independently, as well as part of a team.

Online Courses Available to Help Prepare for a Career as a Data Analytics Architect

Students may prepare for a career as a Data Analytics Architect, or grow in their existing Data Analytics Architect role, by taking online courses. These courses can help learners develop the skills and knowledge needed to succeed in this field. Some of the skills and knowledge that can be gained from online courses include data analytics and data science, computer programming and engineering, and Agile methodologies. Courses usually include video lectures, assignments, quizzes, and exams, as well as projects and interactive labs which can help learners apply their acquired knowledge and skills. Online courses can allow for the flexibility to learn at their own pace, which can be helpful for individuals who are already working in the field and seeking to advance their careers.

However, online courses alone are not enough to prepare someone for a career in data analytics architecture. They can be a helpful learning tool, but they are not a substitute for formal training or experience in the field.