Manager Big Data Engineering - Databricks Lead - Hybrid

About this kind of role

What a Manager Big Data Engineering - Databricks Lead - Hybrid usually does. The employer's own details are in the listing.

Typically does: A Big Data Engineering Manager leads a team responsible for building, maintaining, and optimizing data pipelines and infrastructure. This involves designing and implementing scalable data solutions, ensuring data quality and reliability, and collaborating with data scientists and analysts. The role also includes mentoring team members, managing project timelines, and staying current with emerging technologies in the big data space. Responsibilities often extend to overseeing cloud-based data platforms and architectures.

Tools and skills: Proficiency in programming languages like Python and Scala, experience with distributed computing frameworks such as Spark and Hadoop, and familiarity with cloud platforms (AWS, Azure, or Google Cloud) are typically required, alongside strong leadership and communication skills.

Good fit for: Individuals with a strong technical background in data engineering and a proven ability to lead and motivate teams thrive in this role.