Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)

About this kind of role

What a Senior Manager Data Engineer (Databricks, Pyspark, Snowflake) usually does. The employer's own details are in the listing.

Typically does: A Data Engineer in a senior role designs, builds, and maintains data pipelines and infrastructure to support data analysis and business intelligence. They focus on optimizing data processes for performance and scalability, often working with large datasets. This role involves collaborating with data scientists, analysts, and other engineers to ensure data is accessible and reliable. Senior Data Engineers may also mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in data warehousing solutions like Snowflake, programming languages such as Python and PySpark, and big data platforms like Databricks is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to lead and collaborate effectively within a team typically thrive in this role.