![]() The data engineer architect’s role is at the heart of this complexity, not only to conceptualize and build these large-scale pipelines but also to maintain them over time for efficient consumption of compute resources and reliable usage by all applications.ĭata engineer architects can use the C3 AI ® Type System to do most of the heavy lifting with respect to data unification and wrangling, through the canonical schema and application types. As the needs of enterprises continuously evolve, data pipelines and systems have to be agile enough to adapt to changing requirements. With the advent of big data, the complexity of the data pipelines has exponentially increased. Why is the Data Engineer Architect Role Important? Data engineers generally possess skills related to backend software engineering development and are well-versed with data pipeline management practices. Per popular definition, a data architect helps design how data is stored, consumed, and integrated for use by different IT systems and any applications that use the data in question.īy comparison, a data engineer helps build the pipelines that ingest, move, store, and prepare data based on the conceptualized data frameworks and architecture. ![]() ![]() In the current market, these are often two separate professional roles.Ī data architect helps conceptualize data frameworks that guide overall data modelling, data warehousing, database management, and any other ETL practices.
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