Lead Data Engineer (Databricks)

About this kind of role

What a Lead Data Engineer (Databricks) usually does. The employer's own details are in the listing.

Typically does: A Data Engineer in a lead role designs, builds, and maintains data pipelines and infrastructure. They focus on optimizing data processing and storage solutions, ensuring data quality, and collaborating with data scientists and analysts. This role often involves mentoring junior engineers and contributing to architectural decisions for the data platform. They may also be responsible for implementing and maintaining data governance policies.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (such as Databricks), data warehousing technologies, ETL processes, and big data technologies is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to lead and mentor a team are often successful in this role.