Data Science Architect

kipi.bi; United States; Remote; USD 125,000 - 150,000; Full time

Job description

Key Components of a Data Science Architecture

• Data Models: These are the structural representations of data, defining how data elements are organized and their relationships within databases.
• Data Integration: This component focuses on ensuring smooth data flow and consistency between different systems using processes like ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines.
• Data Governance: This involves defining policies and standards for data quality, security, privacy, and compliance, ensuring that data is managed responsibly and ethically.
• Data Storage: Architectures include solutions for storing data, such as traditional databases, data warehouses, and data lakes, which differ in how they handle structured and unstructured data.
• Data Processing & Transformation: This involves the tools and methods for cleaning, transforming, and preparing data for analysis and modeling.
• Data Distribution & Consumption: This refers to the processes and systems for delivering data to users, applications, and dashboards for consumption and decision-making.