Lead Data Engineering Architect

About this kind of role

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

Typically does: Designs and builds data pipelines and architectures to support data warehousing, business intelligence, and advanced analytics initiatives. This role involves defining data models, ensuring data quality, and optimizing data infrastructure for performance and scalability. Lead Data Engineering Architects often collaborate with data scientists, analysts, and software engineers to translate business requirements into technical solutions. They also oversee the implementation and maintenance of data engineering systems.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), SQL, Python, data warehousing technologies (Snowflake, Redshift), ETL tools, and experience with big data technologies (Spark, Hadoop) are generally required.

Good fit for: Individuals with strong analytical skills, a deep understanding of data architecture principles, and excellent communication abilities often thrive in this role.