As a Head AI and Data Engineer, you'll lead the design and management of data pipelines on Google Cloud. This role is ideal for someone with extensive experience in cloud data engineering and a passion for building scalable data solutions.
In this role, you will be responsible for architecting and managing robust ETL/ELT pipelines that facilitate data ingestion and processing. Your expertise in Google Cloud Platform will be crucial as you work with tools like BigQuery, Dataflow, and Pub/Sub to ensure efficient data handling and analysis. You will lead a team of data engineers, guiding them in best practices and innovative approaches to data management.
Your day-to-day responsibilities will include designing data workflows, optimizing data storage solutions, and ensuring data quality across various platforms. You will also collaborate with cross-functional teams to understand their data needs and provide actionable insights. This position requires a strong technical background and the ability to communicate complex data concepts to non-technical stakeholders.
This role is best suited for someone with at least five years of experience in data engineering, particularly within cloud environments. A deep understanding of GCP and experience in building scalable data solutions are essential. You should be comfortable leading a team and mentoring junior engineers, as well as staying updated on the latest trends in data technology.
If you are passionate about data and have a proven track record in cloud data engineering, this position offers an exciting opportunity to make a significant impact in a fast-paced, innovative environment.
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