The Senior Data Architect leads the design and implementation of a robust data platform within the automotive industry. This role involves managing a team of data engineers to build scalable data solutions and end-to-end data pipelines. The position requires overseeing the architecture of a data lakehouse environment while ensuring it remains secure and optimized for performance. Responsibilities include collaborating with cross-functional teams to translate business requirements into technical data strategies. The individual will also focus on performance tuning, data governance, and the integration of automated deployment processes.

Candidates must possess at least 10 years of experience in data engineering or architecture with a proven track record of deploying large-scale data platforms. Proficiency in GCP Data Lake, Apache Spark, and Delta Lake is required, along with advanced SQL skills for query optimization. The role necessitates strong leadership experience to mentor engineering teams and the ability to manage structured and unstructured data. Additionally, candidates should have experience with data governance, security measures, and working within an Agile environment. Professional certifications such as GCP Data Lake Certified Data Engineer are preferred.