The role involves leading the initial phase of a data platform transformation by evaluating existing environments and defining target architectures. The individual will establish technical foundations for scalable and governed data solutions in the cloud. Responsibilities include translating architectural direction into technical guidance and creating comprehensive delivery documentation. The position requires maintaining architectural artifacts, data flow patterns, and modeling standards. Additionally, the role acts as a liaison between various technical teams to ensure alignment on governance and security standards.

Candidates must possess a Bachelor’s degree in Computer Science, Information Systems, or a related field. The role requires at least five years of experience with demonstrated strength in data platform analysis, documentation, and architectural support. Applicants need strong working knowledge of Databricks, modern lakehouse architectures, and advanced SQL skills. Proficiency in Python, specifically PySpark, and experience supporting ETL/ELT pipelines in cloud environments are necessary. Finally, the candidate must have excellent written and verbal English communication skills.