Databricks & AWS Data Engineering Architect

About this kind of role

What a Databricks & AWS Data Engineering Architect usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and infrastructure using Databricks and Amazon Web Services. This role focuses on optimizing data processing for performance, scalability, and reliability, often working with large datasets. Architects will collaborate with data scientists, analysts, and other engineers to ensure data is accessible and usable for various business needs. They also implement data governance and security best practices.

Tools and skills: Proficiency in Databricks, AWS services (such as S3, EC2, EMR, and Redshift), Spark, Python, SQL, and data warehousing concepts is generally required.

Good fit for: Individuals with a strong background in data engineering and cloud technologies, who enjoy problem-solving and building robust data solutions, are likely to thrive in this role.