Lead Data Platform Engineer - Enterprise, Data & AI

About this kind of role

What a Lead Data Platform Engineer - Enterprise, Data & AI usually does. The employer's own details are in the listing.

Typically does: A Lead Data Platform Engineer designs, builds, and maintains data platforms that support an organization's data storage, processing, and analysis needs. This role involves collaborating with data scientists, engineers, and business stakeholders to understand data requirements and translate them into technical solutions. They focus on ensuring data quality, security, and scalability while optimizing performance and reliability. Responsibilities often include mentoring junior engineers and contributing to the overall data strategy.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (Snowflake, Redshift), ETL tools, programming languages (Python, Java, Scala), and database systems (SQL, NoSQL) 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.