Data Engineering and Governance Core Responsibilities

Data Infrastructure and Pipeline Management

Professionals are responsible for selecting, deploying, and managing data processing pipelines. This involves designing data architectures that support analytics, machine learning, and data science, as well as creating data models and movement processes.

Data Quality and Governance

Core tasks include enforcing data governance policies, maintaining business definitions and metadata, and conducting data profiling to ensure integrity. Professionals must collaborate with IT and business units to align data domains and implement quality assurance processes.

Analytics, Visualization, and Strategy

The role requires developing complex SQL queries and interactive visualizations to generate business insights. Practitioners must communicate technical solution approaches clearly to diverse audiences and stay informed on emerging technologies in data management.